Triple
T7206090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haute-Vienne |
E148669
|
entity |
| Predicate | hasSubprefecture |
P9697
|
FINISHED |
| Object |
Bellac
Bellac is a small historic town in west-central France, known for its picturesque setting in the Nouvelle-Aquitaine region and its association with writer Jean Giraudoux.
|
E657905
|
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: Bellac | Statement: [Haute-Vienne, hasSubprefecture, Bellac]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellac Context triple: [Haute-Vienne, hasSubprefecture, Bellac]
-
A.
Labourd
Labourd is a historic coastal province in the French Basque Country, known for its Basque culture, Atlantic beaches, and towns like Bayonne and Biarritz.
-
B.
Aurillac
Aurillac is a historic town in south-central France, known as the capital of the Cantal department and for its traditional umbrella-making industry.
-
C.
Beaucaire
Beaucaire is a historic town in southern France known for its medieval architecture and its location along the Rhône River.
-
D.
Guéret
Guéret is a small city in central France that serves as the capital of the Creuse department in the Nouvelle-Aquitaine region.
-
E.
Cauterets
Cauterets is a spa and ski resort town in the French Pyrenees known for its thermal baths, mountain scenery, and access to popular hiking areas.
- 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: Bellac Triple: [Haute-Vienne, hasSubprefecture, Bellac]
Generated description
Bellac is a small historic town in west-central France, known for its picturesque setting in the Nouvelle-Aquitaine region and its association with writer Jean Giraudoux.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bellac Target entity description: Bellac is a small historic town in west-central France, known for its picturesque setting in the Nouvelle-Aquitaine region and its association with writer Jean Giraudoux.
-
A.
Labourd
Labourd is a historic coastal province in the French Basque Country, known for its Basque culture, Atlantic beaches, and towns like Bayonne and Biarritz.
-
B.
Aurillac
Aurillac is a historic town in south-central France, known as the capital of the Cantal department and for its traditional umbrella-making industry.
-
C.
Beaucaire
Beaucaire is a historic town in southern France known for its medieval architecture and its location along the Rhône River.
-
D.
Guéret
Guéret is a small city in central France that serves as the capital of the Creuse department in the Nouvelle-Aquitaine region.
-
E.
Cauterets
Cauterets is a spa and ski resort town in the French Pyrenees known for its thermal baths, mountain scenery, and access to popular hiking areas.
- 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e94ef5cc81908c33adcedf5c5054 |
completed | March 27, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa67ec208190b513bf7e8252cdcb |
completed | March 28, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69c7fbe2a86881909be54dac809aa9af |
completed | March 28, 2026, 4:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fc84fff48190b4b43da21a9ede51 |
completed | March 28, 2026, 4:06 p.m. |
Created at: March 27, 2026, 2:52 p.m.