Triple
T7470585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clamecy |
E176492
|
entity |
| Predicate | hasLocalRiver |
P165
|
FINISHED |
| Object |
Beuvron
Beuvron is a small river in central France that serves as a tributary of the Loire.
|
E674305
|
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: Beuvron | Statement: [Clamecy, hasLocalRiver, Beuvron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beuvron Context triple: [Clamecy, hasLocalRiver, Beuvron]
-
A.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
-
B.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
C.
Boulzane
Boulzane is a river in southern France that serves as a tributary of the Agly.
-
D.
Ducos
Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
-
E.
Les Breuleux
Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
- 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: Beuvron Triple: [Clamecy, hasLocalRiver, Beuvron]
Generated description
Beuvron is a small river in central France that serves as a tributary of the Loire.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beuvron Target entity description: Beuvron is a small river in central France that serves as a tributary of the Loire.
-
A.
Orléat
Orléat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
-
B.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
C.
Boulzane
Boulzane is a river in southern France that serves as a tributary of the Agly.
-
D.
Ducos
Ducos is a French surname most notably borne by Pierre-Roger Ducos, a political figure during the French Revolution and the Consulate.
-
E.
Les Breuleux
Les Breuleux is a small Swiss municipality and village in the Jura region, known for its watchmaking tradition and rural alpine setting.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f4145d608190bd93239f04f7da41 |
completed | March 27, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861396b608190985ecef2d0886994 |
completed | March 28, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69c861c305c08190a09589d840aba410 |
completed | March 28, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8627e9a6c8190baf4e8bb113845f1 |
completed | March 28, 2026, 11:21 p.m. |
Created at: March 27, 2026, 3:41 p.m.