Triple

T13680169
Position Surface form Disambiguated ID Type / Status
Subject Gers E327978 entity
Predicate administrativeCenter P1474 FINISHED
Object Auch E85342 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: Auch | Statement: [Gers, administrativeCenter, Auch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auch
Context triple: [Gers, administrativeCenter, 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. Aujon
    Aujon is a river in northeastern France that flows through the Haute-Marne department.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66cbb088190907cb89dda8e4ebd completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944347a08190bc1386e78ddb3e71 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.