Triple

T18515615
Position Surface form Disambiguated ID Type / Status
Subject Greenbelt E452452 entity
Predicate transportAccess P1288 FINISHED
Object Ayala MRT 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: Ayala MRT station | Statement: [Greenbelt, transportAccess, Ayala MRT station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayala MRT station
Context triple: [Greenbelt, transportAccess, Ayala MRT station]
  • A. Ayala station chosen
    Ayala station is a major elevated rapid transit stop on Manila's MRT Line 3 serving the busy Makati Central Business District in the Philippines.
  • B. Guadalupe MRT station
    Guadalupe MRT station is an elevated rapid transit station on Manila's MRT Line 3 serving the Guadalupe area of Makati, Philippines.
  • C. Magallanes MRT station
    Magallanes MRT station is an elevated rapid transit station on Manila’s MRT Line 3 serving the Makati area near the South Luzon Expressway.
  • D. Pedro Gil LRT Station
    Pedro Gil LRT Station is an elevated Light Rail Transit stop on Manila’s Line 1 serving the Malate district and nearby commercial and educational areas.
  • E. Doroteo Jose LRT station
    Doroteo Jose LRT station is a major elevated Light Rail Transit stop in Manila that serves as a key transfer point for commuters in the busy Santa Cruz district.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338a628c81909db08ae7dc94f59a completed April 19, 2026, 7:56 p.m.
Created at: April 10, 2026, 11:36 a.m.