Triple

T6918392
Position Surface form Disambiguated ID Type / Status
Subject Figeac E160119 entity
Predicate locatedNear P294 FINISHED
Object Aurillac E98817 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: Aurillac | Statement: [Figeac, locatedNear, Aurillac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aurillac
Context triple: [Figeac, locatedNear, Aurillac]
  • A. Aurillac chosen
    Aurillac is a historic town in south-central France, known as the capital of the Cantal department and for its traditional umbrella-making industry.
  • B. 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.
  • C. Ussel
    Ussel is a small commune in central France known as a local administrative and service center in the Corrèze department of the Nouvelle-Aquitaine region.
  • D. Anduze
    Anduze is a historic town in southern France, known as a gateway to the Cévennes region and for its traditional pottery and scenic setting along the Gardon River.
  • E. Beaucaire
    Beaucaire is a historic town in southern France known for its medieval architecture and its location along the Rhône River.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9e17ea08190b8c4142af8adfba0 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7512f7fac81908d0891f4de301535 completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:26 p.m.