Triple

T15131523
Position Surface form Disambiguated ID Type / Status
Subject Operation Infatuate E361431 entity
Predicate landingZone P8974 FINISHED
Object Westkapelle E363399 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: Westkapelle | Statement: [Operation Infatuate, landingZone, Westkapelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westkapelle
Context triple: [Operation Infatuate, landingZone, Westkapelle]
  • A. Westkapelle chosen
    Westkapelle is a coastal village in the Dutch province of Zeeland, known for its dikes, beaches, and World War II history.
  • B. Westerkappeln
    Westerkappeln is a municipality in the German state of North Rhine-Westphalia, known for its rural character and location near the city of Osnabrück.
  • C. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • D. Oostkapelle
    Oostkapelle is a coastal village in the Dutch province of Zeeland, known for its beaches, dunes, and location on the former island of Walcheren.
  • E. Grijpskerke
    Grijpskerke is a village in the Dutch province of Zeeland, located on the former island of Walcheren.
  • 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_69d85a06450081909c5a14ea9851a15e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005b194748190801e3956bf2429d4 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5e4752481908e456279a1dfbff6 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:06 a.m.