Triple

T8181536
Position Surface form Disambiguated ID Type / Status
Subject San Martín Line E191072 entity
Predicate hasStation P35 FINISHED
Object Retiro San Martín E215765 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 San Martín | Statement: [San Martín Line, hasStation, Retiro San Martín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Retiro San Martín
Context triple: [San Martín Line, hasStation, Retiro San Martín]
  • A. Retiro
    Retiro is a municipality in Chile’s Linares Province, known for its agricultural activities and rural character in the Maule Region.
  • B. Retiro
    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.
  • C. Retiro chosen
    Retiro is a central Buenos Aires neighborhood known for its major train and bus terminals, historic plazas, and mix of commercial and residential areas.
  • D. Cathedral of Our Lady of Luján of the Armed Forces
    The Cathedral of Our Lady of Luján of the Armed Forces is the principal Catholic church serving as the liturgical and ceremonial center for Peru’s military ordinariate and armed forces.
  • E. San Martín church
    San Martín church is a notable Catholic parish church in the town of Es Mercadal on the island of Menorca, Spain.
  • 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_69ca82c4538081909404325aa5639483 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4c4c2e388190b86854f8b1765e61 completed March 31, 2026, 4:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf8e8f0c819096f449760ce0d240 completed April 1, 2026, 6:47 a.m.
Created at: March 30, 2026, 5:40 p.m.