Triple

T17804756
Position Surface form Disambiguated ID Type / Status
Subject Guelatao station E444526 entity
Predicate lineLabel P28725 FINISHED
Object Line A NE NERFINISHED

How this triple was built (3 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: Line A | Statement: [Guelatao station, lineLabel, Line A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line A
Context triple: [Guelatao station, lineLabel, Line A]
  • A. Line A chosen
    Line A is a line of the Mexico City Metro system that serves the eastern part of the metropolitan area, connecting central Mexico City with several suburban municipalities.
  • B. Line A
    Line A is the main north–south rapid transit line of the Medellín Metro system in Colombia, serving as its busiest and most central corridor.
  • C. Line A
    Line A is the primary route of the Bilbao tram system, serving key areas of the city with modern light rail service.
  • D. Line A
    Line A is one of the main lines of the Prague Metro, running east–west through the city and serving several central and residential districts.
  • E. Line A
    Line A is one of the main routes of the Porto Metro light rail system in Porto, Portugal, connecting key urban and suburban areas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lineLabel
Context triple: [Guelatao station, lineLabel, Line A]
  • A. lineName chosen
    Indicates the specific name or designation assigned to a particular line (such as a route, path, or service) that distinguishes it from other lines.
  • B. lineSymbol
    Indicates that one entity is used as a line-style or line-representation symbol for another entity.
  • C. lineElement
    Indicates a relationship where something functions as, or is identified as, an element or segment of a line within a larger linear structure or representation.
  • D. lineStandard
    Indicates that one entity is a standard or reference specification that defines or governs the characteristics or requirements of a particular line (such as a product line, production line, or service line).
  • E. lineType
    Indicates the specific category or style of a line used in a representation, such as its function or visual convention.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48802bcfc8190a138164d11081ab8 completed April 19, 2026, 7:45 a.m.
PD Predicate disambiguation batch_69e3d8de28688190844b65acf6af54e6 completed April 18, 2026, 7:17 p.m.
Created at: April 10, 2026, 10:14 a.m.