Triple

T14232335
Position Surface form Disambiguated ID Type / Status
Subject ASML E352781 entity
Predicate headquartersLocation P62 FINISHED
Object Veldhoven, Netherlands E1087888 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: Veldhoven, Netherlands | Statement: [ASML, headquartersLocation, Veldhoven, Netherlands]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Veldhoven, Netherlands
Context triple: [ASML, headquartersLocation, Veldhoven, Netherlands]
  • A. Veldhoven, Netherlands chosen
    Veldhoven, Netherlands is a town in the southern province of North Brabant known as a hub of the high-tech and semiconductor industry.
  • B. Bilthoven, Netherlands
    Bilthoven is a town in the Dutch province of Utrecht, known as a residential suburb of Utrecht and home to several national research institutes.
  • C. Valkenswaard, Netherlands
    Valkenswaard, Netherlands is a town in the southern province of North Brabant known for its equestrian sports facilities and role as a hub for international show jumping events.
  • D. Nootdorp, Netherlands
    Nootdorp is a village in the Dutch province of South Holland, now part of the municipality of Pijnacker-Nootdorp, known for its suburban character near The Hague.
  • E. Waalwijk, Netherlands
    Waalwijk, Netherlands is a town in the province of North Brabant known for its historical leather and shoe industry and its location between Tilburg and the River Maas.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de622cdd6481908befa179a9675bb5 completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3251ec5881909fcebc9477d6a761 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:07 a.m.