Triple

T11454281
Position Surface form Disambiguated ID Type / Status
Subject Beauce E271483 entity
Predicate notableTown P14082 FINISHED
Object Châteaudun E343531 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: Châteaudun | Statement: [Beauce, notableTown, Châteaudun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Châteaudun
Context triple: [Beauce, notableTown, Châteaudun]
  • A. Châteaudun chosen
    Châteaudun is a historic town in north-central France known for its medieval château overlooking the Loir River and its role as a gateway to the Loire Valley.
  • B. La Châtre
    La Châtre is a small historic town in central France known for its picturesque medieval streets and its association with the writer George Sand.
  • C. Blois
    Blois is a historic city in central France known for its Renaissance château, picturesque setting on the Loire River, and rich royal heritage.
  • D. Montrichard
    Montrichard is a historic town in central France’s Loire Valley, known for its medieval castle, picturesque setting on the Cher River, and traditional regional architecture.
  • E. Poissy
    Poissy is a commune in the western suburbs of Paris, France, known for hosting Le Corbusier’s iconic modernist Villa Savoye.
  • 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_69d6aadff8888190a13f253f0d460874 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d81c7057688190ad8aa99426e4ca30 completed April 9, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6fef311c4819094b6b08a62d3afb3 completed May 3, 2026, 7:53 a.m.
Created at: April 8, 2026, 9:35 p.m.