Triple

T10695138
Position Surface form Disambiguated ID Type / Status
Subject Catedral station E252116 entity
Predicate terminusOf P3375 FINISHED
Object Line D E198633 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: Line D | Statement: [Catedral station, terminusOf, Line D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Line D
Context triple: [Catedral station, terminusOf, Line D]
  • A. Line D chosen
    Line D is one of the main rapid transit lines of the Buenos Aires Underground, running through several central and northern neighborhoods of Argentina’s capital.
  • B. Line D
    Line D is one of the main routes of the Strasbourg tramway network, connecting key districts of the city and serving as an important corridor for daily commuters and visitors.
  • C. Line B
    Line B is one of the main lines of the Buenos Aires Underground, running through key commercial and residential areas of the city.
  • D. Line B
    Line B is one of the main rapid transit lines of the Medellín Metro system, serving several neighborhoods in the Aburrá Valley metropolitan area.
  • E. Line B
    Line B is a major Mexico City Metro route that runs diagonally across the city, connecting central areas with northeastern suburbs and serving as an important commuter corridor.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd39c3788190bb7cd0acf8b6efdd completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbad00f7c8819097566994307c4550 completed April 12, 2026, 2:32 p.m.
Created at: April 8, 2026, 9:11 p.m.