Triple

T21679933
Position Surface form Disambiguated ID Type / Status
Subject Sol metro station (Line 1) E535073 entity
Predicate partOf P40 FINISHED
Object Sol station complex 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: Sol station complex | Statement: [Sol metro station (Line 1), partOf, Sol station complex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sol station complex
Context triple: [Sol metro station (Line 1), partOf, Sol station complex]
  • A. Sol station chosen
    Sol station is a major central railway and metro hub in Madrid, Spain, serving as a key interchange point for Cercanías commuter trains and multiple urban transit lines beneath Puerta del Sol.
  • B. Joanic station
    Joanic station is an underground Barcelona Metro stop in the Gràcia district, serving passengers on the city’s Line 4.
  • C. Cortex station
    Cortex station is a St. Louis MetroLink light rail stop serving the Cortex Innovation Community and surrounding Midtown area.
  • D. Maverick station
    Maverick station is an MBTA Blue Line subway station in East Boston, Massachusetts, serving as a key transit hub for the neighborhood.
  • E. Kaeson Station
    Kaeson Station is a notable stop on Pyongyang’s metro system, known for its grand socialist-realist decor and proximity to the Arch of Triumph.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a12adf08190b9b450eb26a1f33c completed April 27, 2026, 4:08 p.m.
Created at: April 16, 2026, 6:43 p.m.