Triple

T10574820
Position Surface form Disambiguated ID Type / Status
Subject Line 4 (Barcelona Metro) E249580 entity
Predicate hasStation P35 FINISHED
Object Urquinaona station E858043 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: Urquinaona station | Statement: [Line 4 (Barcelona Metro), hasStation, Urquinaona station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Urquinaona station
Context triple: [Line 4 (Barcelona Metro), hasStation, Urquinaona station]
  • A. Urquinaona station chosen
    Urquinaona station is a central Barcelona Metro interchange station connecting multiple lines near Plaça d'Urquinaona in the city's Eixample district.
  • B. Piedras station
    Piedras station is a stop on Buenos Aires’ historic Line A subway, serving the central Monserrat area near the city’s Plaza de Mayo.
  • C. Irarrázaval station
    Irarrázaval station is a key interchange stop on the Santiago Metro system in Chile, serving as a connection point between multiple lines in the city’s underground network.
  • D. Pío Nono station
    Pío Nono station is a lower terminal of Santiago’s historic funicular railway that provides access to San Cristóbal Hill in Chile.
  • E. Olleros station
    Olleros station is a stop on Buenos Aires’ Line D subway, serving the Palermo and Colegiales neighborhoods in Argentina’s capital.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52749dda08190b0c9627a931c5848 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69dbb6e6b0b081909c89d0e116cde87f completed April 12, 2026, 3:14 p.m.
Created at: April 6, 2026, 12:38 p.m.