Triple

T21461034
Position Surface form Disambiguated ID Type / Status
Subject Callao metro station E529471 entity
Predicate connectsTo P845 FINISHED
Object Santo Domingo metro station 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: Santo Domingo metro station | Statement: [Callao metro station, connectsTo, Santo Domingo metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santo Domingo metro station
Context triple: [Callao metro station, connectsTo, Santo Domingo metro station]
  • A. Santo Domingo metro station chosen
    Santo Domingo metro station is a Madrid Metro stop on Line 2 located near the bustling Gran Vía area in central Madrid, Spain.
  • B. Batán metro station
    Batán metro station is a station on Madrid's Metro Line 10 serving the Batán neighborhood near the Casa de Campo park.
  • C. Colón metro station
    Colón metro station is an underground rapid transit stop in Madrid, Spain, serving the area around the Plaza de Colón.
  • D. Santo Domingo station
    Santo Domingo station is a terminal stop on the Medellín Metro system in Medellín, Colombia, serving as a key access point for the surrounding hillside neighborhoods.
  • E. Salvador metro station
    Salvador metro station is a Santiago Metro station serving the Providencia area, providing access to the popular Barrio Bellavista and surrounding neighborhoods.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9ee10ec8190a606aa64001af35e completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:09 p.m.