Triple

T3167140
Position Surface form Disambiguated ID Type / Status
Subject Kalverstraat E66237 entity
Predicate hasPublicTransportAccess P3791 FINISHED
Object Spui tram stop E138224 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: Spui tram stop | Statement: [Kalverstraat, hasPublicTransportAccess, Spui tram stop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spui tram stop
Context triple: [Kalverstraat, hasPublicTransportAccess, Spui tram stop]
  • A. Spui (tram stop) chosen
    Spui (tram stop) is a central tram station in The Hague, Netherlands, serving multiple lines and providing access to the city’s main shopping and administrative areas.
  • B. Village tram stop
    Village tram stop is a Metrolink light-rail station serving the Village area on Greater Manchester’s Trafford Park Line.
  • C. Bus Stop
    Bus Stop is a 1956 romantic comedy-drama film starring Marilyn Monroe as a small-town saloon singer pursued by a naive cowboy.
  • D. Dam tram stop
    Dam tram stop is a central Amsterdam tram stop located on Dam Square, serving as a key access point to nearby landmarks and major shopping areas.
  • E. Stadhouderskade tram stop
    Stadhouderskade tram stop is a public transport stop in Amsterdam located near the Heineken Experience and serving several city tram lines.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada643e3e481908f4526d66e36e150 completed March 8, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235e108cc81909d5733bd00cb0bee completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.