Triple

T20678561
Position Surface form Disambiguated ID Type / Status
Subject historic city center of Middelburg E508227 entity
Predicate hasLandmark P105 FINISHED
Object Oostkerk NE NERFINISHED

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: Oostkerk | Statement: [historic city center of Middelburg, hasLandmark, Oostkerk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oostkerk
Context triple: [historic city center of Middelburg, hasLandmark, Oostkerk]
  • A. Oostkerk chosen
    Oostkerk is a historic domed Protestant church in the Dutch city of Middelburg, known for its distinctive centralised Baroque architecture.
  • B. Oosterkerk
    Oosterkerk is a historic former church and notable architectural monument in the Dutch city of Hoorn.
  • C. Grijpskerk
    Grijpskerk is a village in the Dutch province of Groningen, known historically as a local agricultural and railway hub.
  • D. Streefkerk
    Streefkerk is a village in the Dutch province of South Holland, known for its location along the Lek River and its traditional windmills.
  • E. Noorderkerk
    Noorderkerk is a 17th-century Protestant church in Amsterdam, notable for its distinctive Dutch Renaissance architecture and central role in the historic Jordaan district.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6bea354f0819094e9ee8d3adaa221 completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 11:44 a.m.