Triple

T19695921
Position Surface form Disambiguated ID Type / Status
Subject N388 E472958 entity
Predicate connectsSettlement P8239 FINISHED
Object Grijpskerk 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: Grijpskerk | Statement: [N388, connectsSettlement, Grijpskerk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grijpskerk
Context triple: [N388, connectsSettlement, Grijpskerk]
  • A. Grijpskerk chosen
    Grijpskerk is a village in the Dutch province of Groningen, known historically as a local agricultural and railway hub.
  • B. Buurkerk
    Buurkerk is a historic medieval church in Utrecht, Netherlands, notable for its Gothic architecture and former role as one of the city’s main parish churches.
  • C. Oostkerk
    Oostkerk is a historic domed Protestant church in the Dutch city of Middelburg, known for its distinctive centralised Baroque architecture.
  • D. St Joriskerk
    St Joriskerk is a historic church in the Dutch town of Bredevoort, known for its traditional architecture and cultural significance in the region.
  • E. Leegkerk
    Leegkerk is a small village in the province of Groningen in the Netherlands, known for its historic rural character and proximity to the city of Groningen.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642147c3c8190a4c788e4bb48fe11 completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:46 p.m.