Triple

T8223816
Position Surface form Disambiguated ID Type / Status
Subject Retiro station E192128 entity
Predicate terminusOf P3375 FINISHED
Object Line E E200331 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 E | Statement: [Retiro station, terminusOf, Line E]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line E
Context triple: [Retiro station, terminusOf, Line E]
  • A. Line E chosen
    Line E is one of the lines of the Buenos Aires Underground, serving as a key rapid transit route across parts of the Argentine capital.
  • B. Line E
    Line E is one of the routes of the Strasbourg tramway network, providing urban light-rail transit service across parts of Strasbourg and its surrounding areas.
  • C. Line L
    Line L is a cable car line of the Medellín Metro system that serves hillside neighborhoods by connecting them to the main urban transit network.
  • D. E line
    The E line is a rapid transit service of the New York City Subway that runs primarily along the IND Eighth Avenue Line in Manhattan and Queens.
  • E. Line P
    Line P is a cable car line of the Medellín Metro system that serves hillside neighborhoods by connecting them to the city’s main mass transit network.
  • 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_69ca82c9a8ac81908b011c38698456e4 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb77cc351481908d7dcd6d3d15d59f completed March 31, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34ca59ec8190b611681ec9dfd97f completed April 1, 2026, 3:07 p.m.
Created at: March 30, 2026, 5:45 p.m.