Triple

T6369974
Position Surface form Disambiguated ID Type / Status
Subject Line 2 (Madrid Metro) E143320 entity
Predicate hasStation P35 FINISHED
Object Retiro E85778 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: Retiro | Statement: [Line 2 (Madrid Metro), hasStation, Retiro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Retiro
Context triple: [Line 2 (Madrid Metro), hasStation, Retiro]
  • A. Retiro chosen
    Retiro is a central district of Madrid, Spain, known for encompassing the expansive El Retiro Park and a mix of residential, cultural, and historical areas.
  • B. Retiro
    Retiro is a central Buenos Aires neighborhood known for its major train and bus terminals, historic plazas, and mix of commercial and residential areas.
  • C. Retiro
    Retiro is a municipality in Chile’s Linares Province, known for its agricultural activities and rural character in the Maule Region.
  • D. Posto Santo
    Posto Santo is a civil parish located in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
  • E. El Rosario
    El Rosario is a major Mexico City transit hub and neighborhood that serves as a key terminus and interchange point for multiple public transportation 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_69c008d8c61081908bcaf61510d881ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c068277f6c81908e6a55e006f0c229 completed March 22, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d8bce3481909b0bf7533b330d1f completed March 27, 2026, 7:11 a.m.
Created at: March 22, 2026, 4:33 p.m.