Triple

T20982954
Position Surface form Disambiguated ID Type / Status
Subject Seville commuter rail E516810 entity
Predicate terminus P388 FINISHED
Object La Rinconada 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: La Rinconada | Statement: [Seville commuter rail, terminus, La Rinconada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Rinconada
Context triple: [Seville commuter rail, terminus, La Rinconada]
  • A. La Rinconada chosen
    La Rinconada is a municipality in the province of Seville, Spain, situated just north of the city of Seville in the Andalusia region.
  • B. El Arreglito
    El Arreglito is a song by Spanish composer Sebastián Iradier whose melody later became famous worldwide as the basis for the "Habanera" aria in Bizet’s opera Carmen.
  • C. El Rincón
    El Rincón is a small coastal settlement located on Zacate Grande Island in southern Honduras.
  • D. Rosario de Mora
    Rosario de Mora is a municipality located in the San Salvador Department of El Salvador.
  • E. El Chorrillo
    El Chorrillo is a historic, densely populated neighborhood in Panama City, Panama, known for its working-class character and significant damage during the 1989 U.S. invasion.
  • 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.