Triple

T37032158
Position Surface form Disambiguated ID Type / Status
Subject A-10 E916524 entity
Predicate representsStationOnMaps P18236 FINISHED
Object Politechnika metro station 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: Politechnika metro station | Statement: [A-10, representsStationOnMaps, Politechnika metro station]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: representsStationOnMaps
Context triple: [A-10, representsStationOnMaps, Politechnika metro station]
  • A. isStationOf
    Indicates that a given location functions as a station (e.g., transport or service hub) associated with or serving a particular system, line, route, or organization.
  • B. hasStationAt
    Indicates that an entity maintains or operates a station located at a specified place.
  • C. isOnSystemMap chosen
    Indicates that an entity is currently displayed or represented on a particular system map.
  • D. hasStationInCity
    Indicates that a station or facility is located within a particular city.
  • E. isMajorStationOn
    Indicates that a station serves as a primary or significant stop on a particular route or line.
  • F. None of above.

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_69f76e92c7648190bcfa277f64c71a21 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69ff9b1ad27081908f8a492396950795 completed May 9, 2026, 8:37 p.m.
PD Predicate disambiguation batch_69ff9a6354c48190ae21070c1424cb7a completed May 9, 2026, 8:34 p.m.
Created at: May 3, 2026, 4:14 p.m.