Triple

T10695151
Position Surface form Disambiguated ID Type / Status
Subject Catedral station E252116 entity
Predicate interchangeWith P3495 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: [Catedral station, interchangeWith, Line E]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Line E
Context triple: [Catedral station, interchangeWith, 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_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_69d998da1738819099a9090c3e8badc9 completed April 11, 2026, 12:42 a.m.
Created at: April 8, 2026, 9:11 p.m.