Triple

T20982917
Position Surface form Disambiguated ID Type / Status
Subject Line 1 (Seville Metro) E516809 entity
Predicate terminus P388 FINISHED
Object Olivar de Quintos 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: Olivar de Quintos | Statement: [Line 1 (Seville Metro), terminus, Olivar de Quintos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olivar de Quintos
Context triple: [Line 1 (Seville Metro), terminus, Olivar de Quintos]
  • A. Olivar de Quintos chosen
    Olivar de Quintos is a metro station in the Seville metropolitan area that serves as one of the termini of the Seville Metro network.
  • B. Senillosa
    Senillosa is a small town in Argentina’s Neuquén Province, known for its agricultural activities and proximity to the city of Neuquén.
  • C. Fresnedillas de la Oliva
    Fresnedillas de la Oliva is a small municipality in the Community of Madrid, central Spain, known for its rural character and proximity to the region’s space-tracking facilities.
  • D. Vilalba
    Vilalba is a town in the province of Lugo in Galicia, northwestern Spain, known as the birthplace of several notable Galician political and cultural figures.
  • E. Cardeñosa
    Cardeñosa is a small municipality in the province of Ávila, in the autonomous community of Castile and León, Spain.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe03244819097630333e70c4e88 completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:48 p.m.