Triple

T4369512
Position Surface form Disambiguated ID Type / Status
Subject Philip I, Count of Boulogne E98860 entity
Predicate residence P75 FINISHED
Object Boulogne E122723 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: Boulogne | Statement: [Philip I, Count of Boulogne, residence, Boulogne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boulogne
Context triple: [Philip I, Count of Boulogne, residence, Boulogne]
  • A. Boulogne-sur-Mer chosen
    Boulogne-sur-Mer is a coastal city and major fishing port in northern France, located on the English Channel in the Pas-de-Calais department.
  • B. Boulogne-sur-Seine
    Boulogne-sur-Seine was a former commune in the western suburbs of Paris, France, now part of Boulogne-Billancourt, known historically as a residential and industrial area along the Seine River.
  • C. Cherbourg
    Cherbourg is a major French port city on the Cotentin Peninsula, known for its strategic naval harbor and cross-Channel ferry connections.
  • D. Calais
    Calais is a major French port city on the northern coast, serving as one of the primary crossing points between France and England.
  • E. Honfleur
    Honfleur is a historic port town in Normandy, northern France, renowned for its picturesque old harbor, timber-framed houses, and association with Impressionist painters.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352052b388190b02cca9a3b480be4 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b66b2e5cec81909768673ab3f341d5 completed March 15, 2026, 8:17 a.m.
Created at: March 12, 2026, 11:17 p.m.