Triple

T3076943
Position Surface form Disambiguated ID Type / Status
Subject Stedelijk E64160 entity
Predicate shortName P43 FINISHED
Object Stedelijk E64160 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: Stedelijk | Statement: [Stedelijk, shortName, Stedelijk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stedelijk
Context triple: [Stedelijk, shortName, Stedelijk]
  • A. Stedelijk chosen
    Stedelijk is a renowned modern and contemporary art museum in Amsterdam, Netherlands.
  • B. Amstelstation
    Amstelstation is a major railway and metro interchange in Amsterdam that connects regional trains with several city metro and tram lines.
  • C. Buitenveldert
    Buitenveldert is a residential neighborhood in the southern part of Amsterdam, known for its mix of post-war housing, proximity to the Zuidas business district, and a significant Jewish community presence.
  • D. Haarlemmertrekvaart
    Haarlemmertrekvaart is a historic canal in the Netherlands that formed part of an early trekschuit (horse-drawn boat) route between Haarlem and Amsterdam.
  • E. Binnenstad
    Binnenstad is the historic city center of Utrecht in the Netherlands, known for its medieval architecture, canals, and cultural landmarks.
  • 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1a5b4108190979654b459990afd completed March 8, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f88d32a08190b4e18da4b26b534c completed March 11, 2026, 11:19 p.m.
Created at: March 8, 2026, 3:02 p.m.