Triple

T10379408
Position Surface form Disambiguated ID Type / Status
Subject A10 motorway E244594 entity
Predicate hasSection P35 FINISHED
Object A10-Oost E488657 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: A10-Oost | Statement: [A10 motorway, hasSection, A10-Oost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A10-Oost
Context triple: [A10 motorway, hasSection, A10-Oost]
  • A. A10-Noord chosen
    A10-Noord is the northern segment of Amsterdam’s A10 ring road, serving as a major urban motorway corridor connecting the city’s northern districts with the rest of the ring.
  • B. A10-Zuid
    A10-Zuid is the southern segment of Amsterdam’s A10 ring road, serving as a major urban motorway corridor for traffic around the city.
  • C. Buitenhof
    Buitenhof is a residential neighborhood located in the Dutch municipality of Leiderdorp in South Holland.
  • D. Zoetermeer Oost
    Zoetermeer Oost is a railway station serving the eastern part of the city of Zoetermeer in the Netherlands.
  • E. ADO Den Haag (women)
    ADO Den Haag (women) is a Dutch professional women's football club based in The Hague that competes in the top tier of women's football in the Netherlands.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e991056c8190a981f717c51f1f72 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7958803e88190a7bbeda4f2c6f32c completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:03 p.m.