Triple

T18927986
Position Surface form Disambiguated ID Type / Status
Subject Lectoure E463023 entity
Predicate nearbyCity P350 FINISHED
Object Auch NE NERFINISHED

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: Auch | Statement: [Lectoure, nearbyCity, Auch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auch
Context triple: [Lectoure, nearbyCity, Auch]
  • A. Auch chosen
    Auch is a historic town in southwestern France that serves as the capital of the Gers department and is known for its cathedral and medieval old town.
  • B. Ook
    Ook is the mascot of the Northern Alberta Institute of Technology, typically depicted as a spirited owl symbolizing the school’s identity and athletic teams.
  • C. Eitel
    Eitel is the introspective, spiritually searching protagonist of Norman Mailer’s novel "The Deer Park."
  • D. Braunshardt
    Braunshardt is a district of the town of Weiterstadt in the state of Hesse, Germany.
  • E. Hauerz
    Hauerz is a village and district of the spa town Bad Wurzach in the Ravensburg district of Baden-Württemberg, Germany.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9bdddb481908bebd32f927ed5de completed April 20, 2026, 6:37 a.m.
Created at: April 10, 2026, 11:59 a.m.