Triple

T8837124
Position Surface form Disambiguated ID Type / Status
Subject La Marche E210292 entity
Predicate hasMajorTown P316 FINISHED
Object Bellac E657905 NE FINISHED

How this triple was built (2 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: [La Marche, hasMajorTown, Bellac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bellac
Context triple: [La Marche, hasMajorTown, Bellac]
  • A. Bellac chosen
    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.
  • B. 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.
  • C. 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.
  • D. Beaucaire
    Beaucaire is a historic town in southern France known for its medieval architecture and its location along the Rhône River.
  • E. Guéret
    Guéret is a small city in central France that serves as the capital of the Creuse department in the Nouvelle-Aquitaine region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca8388549c819095fd94eadefbb007 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc606adde08190825dbdabd199c025 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69d04729c39c8190a88a28288653399b completed April 3, 2026, 11:03 p.m.
Created at: March 30, 2026, 6:48 p.m.