Triple

T14222717
Position Surface form Disambiguated ID Type / Status
Subject Sint-Janskerk E352536 entity
Predicate isInOldTown P25976 FINISHED
Object Gouda city centre E1086244 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: Gouda city centre | Statement: [Sint-Janskerk, isInOldTown, Gouda city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gouda city centre
Context triple: [Sint-Janskerk, isInOldTown, Gouda city centre]
  • A. Gouda city centre chosen
    Gouda city centre is the historic heart of the Dutch city of Gouda, known for its medieval architecture, cheese heritage, and atmospheric public squares.
  • B. Grote Markt, Gouda
    Grote Markt in Gouda is the historic central market square of the Dutch city, known for its medieval town hall, cheese market, and surrounding traditional architecture.
  • C. historic city centre of Gouda
    The historic city centre of Gouda is a well-preserved medieval Dutch town core famed for its traditional cheese market, canals, and historic architecture.
  • D. Binnenstad
    Binnenstad is the historic city center of Utrecht in the Netherlands, known for its medieval architecture, canals, and cultural landmarks.
  • E. Binnenstad
    Binnenstad is the historic city center of Amsterdam, known for its canals, medieval streets, and major cultural and governmental landmarks.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6227c288819081473ce44f9f0934 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d0cb3f88190813542f95ee360bf completed May 8, 2026, 1:31 a.m.
Created at: April 10, 2026, 1:06 a.m.