Triple

T15785818
Position Surface form Disambiguated ID Type / Status
Subject Abbey of Fécamp E382735 entity
Predicate locatedIn P40 FINISHED
Object Fécamp E366745 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: Fécamp | Statement: [Abbey of Fécamp, locatedIn, Fécamp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fécamp
Context triple: [Abbey of Fécamp, locatedIn, Fécamp]
  • A. Fécamp chosen
    Fécamp is a coastal town and former important fishing port in northern France, known for its historic Benedictine Palace and dramatic cliffs along the English Channel.
  • B. Bailleul
    Bailleul is a commune in northern France known for its Flemish-style architecture and location near the Belgian border.
  • C. Sandouville
    Sandouville is a French commune in the Normandy region, known for its industrial activity and proximity to the port city of Le Havre.
  • D. Colleville-sur-Mer
    Colleville-sur-Mer is a commune in Normandy, France, best known for its location by the D-Day landing beaches and the Normandy American Cemetery.
  • E. Isigny-sur-Mer
    Isigny-sur-Mer is a coastal commune in Normandy, France, renowned for its dairy products—especially butter and cream—and its historic port.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0540380448190a025338f0e62e6d1 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9987140c8190a50da103905a7930 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.