Triple

T10417260
Position Surface form Disambiguated ID Type / Status
Subject Bollenstreek E245550 entity
Predicate contains P35 FINISHED
Object Teylingen E81864 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: Teylingen | Statement: [Bollenstreek, contains, Teylingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teylingen
Context triple: [Bollenstreek, contains, Teylingen]
  • A. Teylingen chosen
    Teylingen is a municipality in the Dutch province of South Holland, known for its historic estates and proximity to the bulb-growing region.
  • B. Uithoorn
    Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
  • C. Hansweert
    Hansweert is a small village in the Dutch province of Zeeland, known historically as a canal and shipping hub along the Western Scheldt.
  • D. Olingen
    Olingen is a small village in eastern Luxembourg that forms part of the commune of Betzdorf.
  • E. Zeevang
    Zeevang is a rural municipality in North Holland, Netherlands, characterized by its polder landscapes and traditional Dutch villages within the greater Amsterdam region.
  • 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_69d381be340c8190b05998703d42d224 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea1194e08190a18c3b3002147493 completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f64b78e7ec819093e5e631197ed295 completed May 2, 2026, 7:07 p.m.
Created at: April 6, 2026, 12:11 p.m.