Triple

T22725262
Position Surface form Disambiguated ID Type / Status
Subject Westeinde E561973 entity
Predicate hasOfficialName P66 FINISHED
Object Westeinde 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: Westeinde | Statement: [Westeinde, hasOfficialName, Westeinde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westeinde
Context triple: [Westeinde, hasOfficialName, Westeinde]
  • A. Westeinde chosen
    Westeinde is a small settlement in the municipality of Westerveld in the Dutch province of Drenthe.
  • B. Hollandia
    Hollandia is an engineering firm known for its role in designing and constructing major structures such as the London Eye.
  • C. Hollandia
    Hollandia was a major World War II Allied military base and logistical hub in New Guinea, used as a key staging area for operations in the South West Pacific.
  • D. Buiteneiland
    Buiteneiland is a planned artificial island in Amsterdam’s IJburg district, intended for future residential and recreational development.
  • E. Zuidland
    Zuidland is a village in the western Netherlands, located in the province of South Holland.
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17929710c81909a895622ee32920e completed April 29, 2026, 3:21 a.m.
Created at: April 17, 2026, 3:20 p.m.