Triple
T3862065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IGN Top25 3531ET (St-Gervais / Massif du Mont Blanc) |
E90160
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object |
Institut national de l’information géographique et forestière
The Institut national de l’information géographique et forestière (IGN) is France’s national public agency responsible for producing and managing official geographic, cartographic, and forest-related information.
|
E396140
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Institut national de l’information géographique et forestière | Statement: [IGN Top25 3531ET (St-Gervais / Massif du Mont Blanc), publisher, Institut national de l’information géographique et forestière]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Institut national de l’information géographique et forestière Context triple: [IGN Top25 3531ET (St-Gervais / Massif du Mont Blanc), publisher, Institut national de l’information géographique et forestière]
-
A.
INRAE
INRAE is France’s national research institute dedicated to agriculture, food, and the environment, formed from the merger of INRA and IRSTEA.
-
B.
Département des Cartes et plans
Département des Cartes et plans is the specialized maps and plans department of France’s national library, housing extensive cartographic and geographic collections.
-
C.
Swiss Federal Institute for Forest, Snow and Landscape Research
The Swiss Federal Institute for Forest, Snow and Landscape Research is a Swiss research institution specializing in forests, natural hazards, snow and ice, and landscape management and conservation.
-
D.
Parc naturel régional de la Forêt d’Orient
Parc naturel régional de la Forêt d’Orient is a protected regional natural park in northeastern France known for its large forested areas, lakes, and rich biodiversity, popular for outdoor recreation and wildlife observation.
-
E.
Parc naturel régional Oise-Pays de France
Parc naturel régional Oise-Pays de France is a protected regional natural park in northern France known for its forests, wetlands, and cultural landscapes near the Paris metropolitan area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Institut national de l’information géographique et forestière Triple: [IGN Top25 3531ET (St-Gervais / Massif du Mont Blanc), publisher, Institut national de l’information géographique et forestière]
Generated description
The Institut national de l’information géographique et forestière (IGN) is France’s national public agency responsible for producing and managing official geographic, cartographic, and forest-related information.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Institut national de l’information géographique et forestière Target entity description: The Institut national de l’information géographique et forestière (IGN) is France’s national public agency responsible for producing and managing official geographic, cartographic, and forest-related information.
-
A.
INRAE
INRAE is France’s national research institute dedicated to agriculture, food, and the environment, formed from the merger of INRA and IRSTEA.
-
B.
Département des Cartes et plans
Département des Cartes et plans is the specialized maps and plans department of France’s national library, housing extensive cartographic and geographic collections.
-
C.
Swiss Federal Institute for Forest, Snow and Landscape Research
The Swiss Federal Institute for Forest, Snow and Landscape Research is a Swiss research institution specializing in forests, natural hazards, snow and ice, and landscape management and conservation.
-
D.
Parc naturel régional de la Forêt d’Orient
Parc naturel régional de la Forêt d’Orient is a protected regional natural park in northeastern France known for its large forested areas, lakes, and rich biodiversity, popular for outdoor recreation and wildlife observation.
-
E.
Parc naturel régional Oise-Pays de France
Parc naturel régional Oise-Pays de France is a protected regional natural park in northern France known for its forests, wetlands, and cultural landscapes near the Paris metropolitan area.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed95b3c088190a8f85d19e6070599 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec22a5dc8190be8298d1ce8ca449 |
completed | March 9, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5123802248190b03a887d3a4e762f |
completed | March 14, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69b5136f96948190861a37ba72bd2f86 |
completed | March 14, 2026, 7:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b513e888008190892627805d2abd50 |
completed | March 14, 2026, 7:53 a.m. |
Created at: March 9, 2026, 3:19 p.m.