Triple

T22086359
Position Surface form Disambiguated ID Type / Status
Subject Oudeschild E545785 entity
Predicate hasLocalDialect P1762 FINISHED
Object Texels 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: Texels | Statement: [Oudeschild, hasLocalDialect, Texels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Texels
Context triple: [Oudeschild, hasLocalDialect, Texels]
  • A. Texel chosen
    Texel is the largest and most populated of the West Frisian Islands off the northwestern coast of the Netherlands, known for its beaches, dunes, and nature reserves.
  • B. Zeerijp
    Zeerijp is a small village in the province of Groningen in the Netherlands, known for its historic church and traditional rural character.
  • C. Landsmeer
    Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
  • D. Zonnemaire, Netherlands
    Zonnemaire, Netherlands is a small village in the province of Zeeland, best known as the birthplace of Nobel Prize–winning physicist Pieter Zeeman.
  • E. Drenthe, Netherlands
    Drenthe, Netherlands is a rural northeastern Dutch province known for its prehistoric dolmen tombs, extensive nature reserves, and quiet agricultural landscapes.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e2e3108190883199f272756e4e completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.