Triple

T15606073
Position Surface form Disambiguated ID Type / Status
Subject Jean d’Aire E375163 entity
Predicate memberOf P10 FINISHED
Object burghers of Calais E262923 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: burghers of Calais | Statement: [Jean d’Aire, memberOf, burghers of Calais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: burghers of Calais
Context triple: [Jean d’Aire, memberOf, burghers of Calais]
  • A. The Burghers of Calais chosen
    The Burghers of Calais is a famous bronze sculpture by Auguste Rodin depicting six citizens of Calais offering themselves as hostages during the Hundred Years’ War, celebrated for its emotional realism and innovative composition.
  • B. Count of Rouen
    The Count of Rouen was the early medieval noble title held by Rollo as ruler of the region around Rouen, a precursor to his later role as the first Duke of Normandy.
  • C. Harfleur
    Harfleur is a historic port town in Normandy, northern France, known for its strategic importance during the Hundred Years’ War.
  • D. Bayeux
    Bayeux is a historic town in Normandy, France, renowned for the medieval Bayeux Tapestry and its proximity to the D-Day landing beaches.
  • E. 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.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7d9328819090e93d55881269a5 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d3541c8190a5a2aa9730260562 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:12 a.m.