Triple

T19018635
Position Surface form Disambiguated ID Type / Status
Subject Bayeux War Cemetery E465422 entity
Predicate near P350 FINISHED
Object city of Bayeux 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: city of Bayeux | Statement: [Bayeux War Cemetery, near, city of Bayeux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Bayeux
Context triple: [Bayeux War Cemetery, near, city of Bayeux]
  • A. Bayeux chosen
    Bayeux is a historic town in Normandy, France, renowned for the medieval Bayeux Tapestry and its proximity to the D-Day landing beaches.
  • B. Bayeux
    Bayeux is a municipality in the Brazilian state of Paraíba, located in the northeastern region of the country and forming part of the João Pessoa metropolitan area.
  • C. City of Caen
    The City of Caen is a historic commune in Normandy, northwestern France, known for its medieval architecture, ties to William the Conqueror, and significant role in World War II.
  • D. Bayeux Cathedral
    Bayeux Cathedral is a prominent Norman Gothic Roman Catholic church in Bayeux, France, renowned for its medieval architecture and historical association with the Bayeux Tapestry.
  • E. Rouen
    Rouen is a historic city in northern France renowned for its medieval architecture, Gothic cathedral, and association with figures like Joan of Arc and the Impressionist painter Claude Monet.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6dd0e6c8190a6dc6af1f7901299 completed April 20, 2026, 7:33 a.m.
Created at: April 10, 2026, 12:02 p.m.