Triple

T20489148
Position Surface form Disambiguated ID Type / Status
Subject Friesland E502691 entity
Predicate contains P35 FINISHED
Object Heerenveen 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: Heerenveen | Statement: [Friesland, contains, Heerenveen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heerenveen
Context triple: [Friesland, contains, Heerenveen]
  • A. Heerenveen chosen
    Heerenveen is a Dutch town in the province of Friesland, known for its speed skating arena Thialf and its football club SC Heerenveen.
  • B. Alkmaar
    Alkmaar is a historic city in the Netherlands, renowned for its traditional cheese market and well-preserved medieval center.
  • C. ’s-Hertogenbosch
    ’s-Hertogenbosch is a historic Dutch city known for its medieval center, Gothic St. John’s Cathedral, and rich cultural heritage in the southern Netherlands.
  • D. Cuijk
    Cuijk is a historic town in the Dutch province of North Brabant, known for its Roman-era heritage and location along the River Meuse.
  • E. Oudenbosch
    Oudenbosch is a village in the Dutch province of North Brabant, known for its striking basilica modeled after St. Peter's in Rome.
  • 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_69e0b4b0373881909dd3e9387f82eab4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b5d93ec81908259696359090b35 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.