Triple

T15501231
Position Surface form Disambiguated ID Type / Status
Subject Red line (Stockholm metro) E378957 entity
Predicate hasStation P35 FINISHED
Object Stadion E378959 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: Stadion | Statement: [Red line (Stockholm metro), hasStation, Stadion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stadion
Context triple: [Red line (Stockholm metro), hasStation, Stadion]
  • A. Stadion chosen
    Stadion is a Stockholm metro station on the red line, known for its colorful rainbow-themed artwork and proximity to the Stockholm Olympic Stadium.
  • B. Parkstadion
    Parkstadion is a former multi-purpose football stadium in Gelsenkirchen, Germany, that long served as the home ground of FC Schalke 04 and hosted major national and international matches.
  • C. Soevereinstadion
    Soevereinstadion is a football stadium in Lommel, Belgium, primarily used for hosting the home matches of Lommel SK.
  • D. Yuvileiny Stadium
    Yuvileiny Stadium is a multi-purpose sports arena located in Sumy, Ukraine, primarily used for football matches and athletic events.
  • E. Stadionkade
    Stadionkade is a street and canal-side area in Amsterdam’s Oud-Zuid district, known for its residential character and proximity to the Olympic Stadium.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcb4e8c81908e4ab463e3ae252b completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3669f908819087162b1b8a4e4320 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:54 a.m.