Triple

T16582891
Position Surface form Disambiguated ID Type / Status
Subject Walcheren E402879 entity
Predicate contains P35 FINISHED
Object Oostkapelle E366701 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: Oostkapelle | Statement: [Walcheren, contains, Oostkapelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oostkapelle
Context triple: [Walcheren, contains, Oostkapelle]
  • A. Oostkapelle chosen
    Oostkapelle is a coastal village in the Dutch province of Zeeland, known for its beaches, dunes, and location on the former island of Walcheren.
  • B. Zwevegem
    Zwevegem is a municipality in the Belgian province of West Flanders, known for its mix of rural villages and industrial heritage.
  • C. Koudekerke
    Koudekerke is a village in the Dutch province of Zeeland, located near the North Sea coast on the former island of Walcheren.
  • D. Meerbeke
    Meerbeke is a village in East Flanders, Belgium, best known for having long served as the traditional finish town of the Tour of Flanders cycling race.
  • E. Kanegem
    Kanegem is a small village in West Flanders, Belgium, known for its historic church and rural character.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35999088c8190900497f18728bd0b completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007597905881909df7dc49961b6a02 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 5:16 a.m.