Triple

T18080918
Position Surface form Disambiguated ID Type / Status
Subject Bayeux Museum E432684 entity
Predicate operatedBy P86 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 Museum, operatedBy, City of Bayeux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Bayeux
Context triple: [Bayeux Museum, operatedBy, City of Bayeux]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Château de Caen
    Château de Caen is a large medieval fortress in the city of Caen, Normandy, notable for its historical role as a ducal castle of William the Conqueror and its well-preserved ramparts and museums.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fa080081909e1a05e98185a026 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.