Triple
T9215200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Vence |
E221224
|
entity |
| Predicate | containsCommune |
P15149
|
FINISHED |
| Object |
Conségudes
Conségudes is a small commune in the Alpes-Maritimes department of southeastern France.
|
E785572
|
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: Conségudes | Statement: [canton of Vence, containsCommune, Conségudes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Conségudes Context triple: [canton of Vence, containsCommune, Conségudes]
-
A.
Ruinès
Ruinès is a small commune in the Cantal department of south-central France, known for its proximity to the historic Garabit Viaduct spanning the Truyère River.
-
B.
Sampués
Sampués is a municipality in northern Colombia known for its traditional Zenú indigenous culture and artisanal hat weaving.
-
C.
Sonseca
Sonseca is a municipality in central Spain known for its traditional furniture industry and location within the autonomous community of Castilla-La Mancha.
-
D.
Pomègues
Pomègues is one of the main islands of the Frioul archipelago off the coast of Marseille in southern France, known for its rugged coastline and Mediterranean landscapes.
-
E.
Noguès
Noguès is a French surname borne by various notable individuals, including figures in politics, arts, and sports.
- 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: Conségudes Triple: [canton of Vence, containsCommune, Conségudes]
Generated description
Conségudes is a small commune in the Alpes-Maritimes department of southeastern France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Conségudes Target entity description: Conségudes is a small commune in the Alpes-Maritimes department of southeastern France.
-
A.
Ruinès
Ruinès is a small commune in the Cantal department of south-central France, known for its proximity to the historic Garabit Viaduct spanning the Truyère River.
-
B.
Sampués
Sampués is a municipality in northern Colombia known for its traditional Zenú indigenous culture and artisanal hat weaving.
-
C.
Sonseca
Sonseca is a municipality in central Spain known for its traditional furniture industry and location within the autonomous community of Castilla-La Mancha.
-
D.
Pomègues
Pomègues is one of the main islands of the Frioul archipelago off the coast of Marseille in southern France, known for its rugged coastline and Mediterranean landscapes.
-
E.
Noguès
Noguès is a French surname borne by various notable individuals, including figures in politics, arts, and sports.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda0830a8819096a186ed2e976cba |
completed | April 1, 2026, 8:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0661c4c2c8190bc5be991a3a75f2b |
completed | April 4, 2026, 1:15 a.m. |
| NEDg | Description generation | batch_69d0678b89ac8190b807e1c3b457a503 |
completed | April 4, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0688d4c388190bb024b03cc86d08f |
completed | April 4, 2026, 1:25 a.m. |
Created at: March 30, 2026, 7:27 p.m.