Triple

T6281465
Position Surface form Disambiguated ID Type / Status
Subject Ramal (Opera–Príncipe Pío shuttle) E140790 entity
Predicate terminus P388 FINISHED
Object Ópera station E529761 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: Ópera station | Statement: [Ramal (Opera–Príncipe Pío shuttle), terminus, Ópera station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ópera station
Context triple: [Ramal (Opera–Príncipe Pío shuttle), terminus, Ópera station]
  • A. Ópera metro station chosen
    Ópera metro station is a Madrid Metro station located near the historic city center, serving as a key access point to landmarks such as the Royal Opera House and Plaza de Oriente.
  • B. Mostra station
    Mostra station is a Naples Metro station in Naples, Italy, serving the area around the Stadio Diego Armando Maradona (formerly Stadio San Paolo).
  • C. Catedral station
    Catedral station is a central Buenos Aires Underground stop located in the city's downtown area, serving as a key access point to major civic and historic sites.
  • D. Impulsora station
    Impulsora station is a Mexico City Metro station serving the northeastern area of the metropolitan zone on Line B.
  • E. Teatralnaya station
    Teatralnaya station is a central Moscow Metro station known for serving the Bolshoi Theatre area and providing key transfers between several metro lines.
  • 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_69c008cd17c8819082b82d3fbeb68047 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063dee62881908347283f16dcbe68 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e411332481908ffff37cad062cce completed March 27, 2026, 1:57 a.m.
Created at: March 22, 2026, 4:26 p.m.