Triple

T9022686
Position Surface form Disambiguated ID Type / Status
Subject Retiro E215765 entity
Predicate hasTransportFacility P2413 FINISHED
Object Retiro railway station E192128 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 railway station | Statement: [Retiro, hasTransportFacility, Retiro railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Retiro railway station
Context triple: [Retiro, hasTransportFacility, Retiro railway station]
  • A. Latina railway station
    Latina railway station is the main train station serving the city of Latina in the Lazio region of central Italy, providing regional and intercity rail connections.
  • B. Torre railway station
    Torre railway station is a suburban rail stop serving the Torre area of Torquay in Torbay, Devon, England, on the Riviera Line.
  • C. Retiro station chosen
    Retiro station is a major Buenos Aires Underground terminus and transport hub located in the Retiro district of Argentina’s capital.
  • D. Rossio railway station
    Rossio railway station is a historic 19th-century train terminus in central Lisbon, Portugal, known for its Neo-Manueline façade and role as a key gateway to the Sintra line.
  • E. Desamparados railway station
    Desamparados railway station is a historic former central railway terminal in Lima, Peru, known for its early 20th-century architecture and later conversion into a cultural and administrative space.
  • 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_69ca83a38aa88190bf1bb80c4548b5e2 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a454b808190af6bb48f7a4da917 completed April 1, 2026, 12:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbb92ffc81909de907f2bb64dd58 completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:07 p.m.