Triple

T15755980
Position Surface form Disambiguated ID Type / Status
Subject Parque de Atracciones de Madrid E381967 entity
Predicate accessibleBy P1017 FINISHED
Object Lago metro station E381970 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: Lago metro station | Statement: [Parque de Atracciones de Madrid, accessibleBy, Lago metro station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lago metro station
Context triple: [Parque de Atracciones de Madrid, accessibleBy, Lago metro station]
  • A. Lago metro station chosen
    Lago metro station is a station on the Madrid Metro network serving the Casa de Campo area in western Madrid.
  • B. Aigaleo metro station
    Aigaleo metro station is an Athens Metro station serving the Aigaleo district in western Athens, Greece.
  • C. San Babila Metro station
    San Babila Metro station is a central Milan underground station serving the historic city core and providing access to major shopping and business areas.
  • D. Curado metro station
    Curado metro station is a rapid transit stop on the Recife Metro system in Recife, Brazil, serving the Curado neighborhood and surrounding areas.
  • E. Lanza metro station
    Lanza metro station is an underground station on Milan’s Metro Line 2, serving the central area near Sforza Castle and Parco Sempione.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b1ff4881909d5240d1d30f5c8b completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff87714a8481909f8489c73ac89c11 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:47 a.m.