Triple
T9215192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Vence |
E221224
|
entity |
| Predicate | containsCommune |
P15149
|
FINISHED |
| Object |
Bouyon
Bouyon is a small rural commune in southeastern France, situated in the Alpes-Maritimes department of the Provence-Alpes-Côte d’Azur region.
|
E785568
|
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: Bouyon | Statement: [canton of Vence, containsCommune, Bouyon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bouyon Context triple: [canton of Vence, containsCommune, Bouyon]
-
A.
Enchin
Enchin was a prominent 9th-century Japanese Tendai Buddhist monk and scholar who played a key role in the development of esoteric Buddhism in Japan.
-
B.
Bugey
Bugey is a historical and wine-producing region in eastern France, known for its hilly landscapes and location in the foothills of the Jura Mountains.
-
C.
Nantan
Nantan is a city in central Kyoto Prefecture, Japan, known for its rural landscapes, forests, and traditional cultural sites.
-
D.
Baise
Baise is a prefecture-level city in western Guangxi, China, known for its mountainous landscapes, ethnic diversity, and historical significance in the Chinese revolution.
-
E.
Fuchū
Fuchū is a city in western Tokyo, Japan, known as an administrative and commercial center in the Tama region.
- 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: Bouyon Triple: [canton of Vence, containsCommune, Bouyon]
Generated description
Bouyon is a small rural commune in southeastern France, situated in the Alpes-Maritimes department of the Provence-Alpes-Côte d’Azur region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bouyon Target entity description: Bouyon is a small rural commune in southeastern France, situated in the Alpes-Maritimes department of the Provence-Alpes-Côte d’Azur region.
-
A.
Enchin
Enchin was a prominent 9th-century Japanese Tendai Buddhist monk and scholar who played a key role in the development of esoteric Buddhism in Japan.
-
B.
Bugey
Bugey is a historical and wine-producing region in eastern France, known for its hilly landscapes and location in the foothills of the Jura Mountains.
-
C.
Nantan
Nantan is a city in central Kyoto Prefecture, Japan, known for its rural landscapes, forests, and traditional cultural sites.
-
D.
Baise
Baise is a prefecture-level city in western Guangxi, China, known for its mountainous landscapes, ethnic diversity, and historical significance in the Chinese revolution.
-
E.
Fuchū
Fuchū is a city in western Tokyo, Japan, known as an administrative and commercial center in the Tama region.
- 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.