Triple

T22183663
Position Surface form Disambiguated ID Type / Status
Subject Vienna U-Bahn line U3 E548234 entity
Predicate hasStation P35 FINISHED
Object Gasometer NE NERFINISHED

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: Gasometer | Statement: [Vienna U-Bahn line U3, hasStation, Gasometer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gasometer
Context triple: [Vienna U-Bahn line U3, hasStation, Gasometer]
  • A. Gasometer B
    Gasometer B is one of the four historic former gas storage tanks in Vienna’s Simmering district that have been converted into a mixed-use complex with residential, commercial, and cultural spaces.
  • B. Gasometer Vienna chosen
    Gasometer Vienna is a complex of four former gas storage tanks in Vienna that have been converted into a distinctive mixed-use development featuring apartments, offices, and entertainment facilities.
  • C. Gasometer Oberhausen
    Gasometer Oberhausen is a former gas storage tank in Germany’s Ruhr area that has been transformed into a prominent exhibition and cultural venue.
  • D. Nuevo Gasómetro
    Nuevo Gasómetro is a football stadium in Buenos Aires, Argentina, best known as the modern home ground of the San Lorenzo de Almagro football club.
  • E. Shengavit depot
    Shengavit depot is the main maintenance and storage facility serving the Yerevan Metro system in Armenia’s capital.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa75440819084cbe9176b9edb47 completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.