Triple

T17681344
Position Surface form Disambiguated ID Type / Status
Subject Torquay E440776 entity
Predicate hasRailwayStation P918 FINISHED
Object Torre railway station 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: Torre railway station | Statement: [Torquay, hasRailwayStation, Torre railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torre railway station
Context triple: [Torquay, hasRailwayStation, Torre railway station]
  • A. Torre railway station chosen
    Torre railway station is a suburban rail stop serving the Torre area of Torquay in Torbay, Devon, England, on the Riviera Line.
  • B. 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.
  • C. Torrassa station
    Torrassa station is an underground rapid transit stop in L'Hospitalet de Llobregat that forms part of Barcelona’s metro network.
  • D. Terrassa railway station
    Terrassa railway station is a main commuter and regional rail hub in the city of Terrassa, Catalonia, Spain, providing connections to Barcelona and surrounding areas.
  • E. 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.
  • 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e470445b3881908bb0930b986089f7 completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:01 a.m.