Triple

T20825332
Position Surface form Disambiguated ID Type / Status
Subject Operation Chowhound E512682 entity
Predicate location P40 FINISHED
Object Utrecht region 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: Utrecht region | Statement: [Operation Chowhound, location, Utrecht region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Utrecht region
Context triple: [Operation Chowhound, location, Utrecht region]
  • A. Utrecht region chosen
    The Utrecht region is a central area of the Netherlands known for its historic cities, castles, and green landscapes surrounding the city of Utrecht.
  • B. Leiden region
    The Leiden region is an area in the western Netherlands centered on the historic university city of Leiden and its surrounding municipalities.
  • C. Groningen region
    The Groningen region is a province in the northern Netherlands known for its historic city of Groningen, flat rural landscapes, and significant natural gas reserves.
  • D. Hoorn region
    The Hoorn region is an area in the province of North Holland in the Netherlands, centered around the historic port city of Hoorn and forming part of the greater Randstad metropolitan area.
  • E. Hilversum region
    The Hilversum region is an area in the Netherlands centered around the city of Hilversum, known for its media industry and surrounding heathlands and forests.
  • 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_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2fd8480819099930af691d97477 completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.