Triple
T15181437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loup |
E362753
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Gréolières
Gréolières is a small mountain village in southeastern France, known for its scenic setting in the Alpes-Maritimes and proximity to outdoor activities like hiking and skiing.
|
E1141501
|
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: Gréolières | Statement: [Loup, flowsThrough, Gréolières]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gréolières Context triple: [Loup, flowsThrough, Gréolières]
-
A.
Genouillet
Genouillet is a rare, old white wine grape variety from Central Europe, historically cultivated in France and believed to descend from the ancient Heunisch Weiss lineage.
-
B.
Monchyssoise
Monchyssoise is the French demonym for a female inhabitant of the commune of Monchy-Saint-Éloi in northern France.
-
C.
Préverenges
Préverenges is a Swiss municipality on the shores of Lake Geneva in the canton of Vaud, known for its lakeside setting and residential character.
-
D.
Vulaignots
Vulaignots are the inhabitants or natives of the French commune of Vulaines-sur-Seine in the Île-de-France region.
-
E.
Langrois
Langrois is the French term for an inhabitant or native of the town of Langres in northeastern France.
- 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: Gréolières Triple: [Loup, flowsThrough, Gréolières]
Generated description
Gréolières is a small mountain village in southeastern France, known for its scenic setting in the Alpes-Maritimes and proximity to outdoor activities like hiking and skiing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gréolières Target entity description: Gréolières is a small mountain village in southeastern France, known for its scenic setting in the Alpes-Maritimes and proximity to outdoor activities like hiking and skiing.
-
A.
Genouillet
Genouillet is a rare, old white wine grape variety from Central Europe, historically cultivated in France and believed to descend from the ancient Heunisch Weiss lineage.
-
B.
Monchyssoise
Monchyssoise is the French demonym for a female inhabitant of the commune of Monchy-Saint-Éloi in northern France.
-
C.
Préverenges
Préverenges is a Swiss municipality on the shores of Lake Geneva in the canton of Vaud, known for its lakeside setting and residential character.
-
D.
Vulaignots
Vulaignots are the inhabitants or natives of the French commune of Vulaines-sur-Seine in the Île-de-France region.
-
E.
Langrois
Langrois is the French term for an inhabitant or native of the town of Langres in northeastern France.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006663ad48190986b680001be0e9b |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec89210e081909e8077fa2487c40e |
completed | May 9, 2026, 5:39 a.m. |
| NEDg | Description generation | batch_69fec998bd908190a14574b9e08cab4a |
completed | May 9, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feca58c02081909b8ee4066297e194 |
completed | May 9, 2026, 5:47 a.m. |
Created at: April 10, 2026, 3:09 a.m.