Triple

T23347916
Position Surface form Disambiguated ID Type / Status
Subject DAF Trucks E591917 entity
Predicate locationOfProduction P3743 FINISHED
Object Westerlo E1554584 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: Westerlo | Statement: [DAF Trucks, locationOfProduction, Westerlo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Westerlo
Context triple: [DAF Trucks, locationOfProduction, Westerlo]
  • A. Westerlo chosen
    Westerlo is a municipality and town in the Campine (Kempen) region of the Belgian province of Antwerp, known for its rural character and historic sites such as the Castle of the Princes de Merode.
  • B. Guilderland
    Guilderland is a suburban town in eastern New York State that serves as a major residential and commercial community within the Albany metropolitan area.
  • C. Elmont
    Elmont is an unincorporated community located in Shawnee County, Kansas, United States.
  • D. Pawling
    Pawling is a small town and village in southeastern New York State known for its rural character, historic charm, and location within Dutchess County.
  • E. Westbroek
    Westbroek is a village in the Dutch province of Utrecht, known for its historic ribbon development and surrounding peat meadow landscape.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1983840a481908c503e47ef2158e3 completed April 29, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0cdf2ea61c8190a2d6b2647750c486 completed May 19, 2026, 10:07 p.m.
Created at: April 17, 2026, 5:19 p.m.