Triple
T12446987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorges du Tarn |
E297425
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Sainte-Enimie
Sainte-Enimie is a picturesque medieval village in southern France, renowned for its historic stone architecture and dramatic setting along the Tarn River.
|
E998768
|
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: Sainte-Enimie | Statement: [Gorges du Tarn, hasVillage, Sainte-Enimie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sainte-Enimie Context triple: [Gorges du Tarn, hasVillage, Sainte-Enimie]
-
A.
Quarreux
Quarreux is a scenic hamlet in the municipality of Stoumont in Belgium’s Ardennes region, known for its picturesque river landscapes and natural surroundings.
-
B.
Boignée
Boignée is a village that forms one of the municipal sections of the municipality of Sombreffe in the province of Namur, Wallonia, Belgium.
-
C.
Roquebillière
Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
-
D.
Lantheuil
Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
-
E.
Muriaux
Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
- 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: Sainte-Enimie Triple: [Gorges du Tarn, hasVillage, Sainte-Enimie]
Generated description
Sainte-Enimie is a picturesque medieval village in southern France, renowned for its historic stone architecture and dramatic setting along the Tarn River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sainte-Enimie Target entity description: Sainte-Enimie is a picturesque medieval village in southern France, renowned for its historic stone architecture and dramatic setting along the Tarn River.
-
A.
Quarreux
Quarreux is a scenic hamlet in the municipality of Stoumont in Belgium’s Ardennes region, known for its picturesque river landscapes and natural surroundings.
-
B.
Boignée
Boignée is a village that forms one of the municipal sections of the municipality of Sombreffe in the province of Namur, Wallonia, Belgium.
-
C.
Roquebillière
Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
-
D.
Lantheuil
Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
-
E.
Muriaux
Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d90f18c819083a36ff4b9be4a20 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6718723bc8190987fa56147712851 |
completed | May 2, 2026, 9:49 p.m. |
| NEDg | Description generation | batch_69f6751f79148190a1735abf489fd106 |
completed | May 2, 2026, 10:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f675c42fec8190b60751c0db88f3b6 |
completed | May 2, 2026, 10:08 p.m. |
Created at: April 8, 2026, 9:56 p.m.