Triple

T7996395
Position Surface form Disambiguated ID Type / Status
Subject Bible Belt of the Netherlands E186136 entity
Predicate notableMunicipality P41762 FINISHED
Object Urk E636014 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: Urk | Statement: [Bible Belt of the Netherlands, notableMunicipality, Urk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urk
Context triple: [Bible Belt of the Netherlands, notableMunicipality, Urk]
  • A. Urk chosen
    Urk is a traditional Dutch fishing town and former island in the IJsselmeer, now a municipality in the province of Flevoland in the Netherlands.
  • B. Urakhi
    Urakhi is a dialect of the Dargin language spoken by a subset of the Dargin people in the North Caucasus region of Russia.
  • C. Urke
    Urke is a small village in Norway situated along the scenic Hjørundfjord, known for its dramatic mountain surroundings and fjord landscapes.
  • D. Ashkun
    Ashkun is a Nuristani language spoken by the Ashkun people in parts of eastern Afghanistan.
  • E. Ushba
    Ushba is a striking double-summited peak in the Caucasus Mountains of Georgia, renowned among climbers for its technical difficulty and dramatic, spire-like profile.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c97968481908d261b3f0bd6b8e6 completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe10d5eb081909f257390094de442 completed March 31, 2026, 2:58 p.m.
Created at: March 30, 2026, 5:17 p.m.