Triple

T2542179
Position Surface form Disambiguated ID Type / Status
Subject LRT Line 2 E57808 entity
Predicate hasStation P35 FINISHED
Object Araneta Center–Cubao station E56497 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: Araneta Center–Cubao station | Statement: [LRT Line 2, hasStation, Araneta Center–Cubao station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Araneta Center–Cubao station
Context triple: [LRT Line 2, hasStation, Araneta Center–Cubao station]
  • A. Antipolo station
    Antipolo station is an elevated eastern terminal station of Manila’s LRT Line 2 serving the city of Antipolo in Rizal, Philippines.
  • B. Ortigas Center
    Ortigas Center is a major mixed-use central business district in the Philippines known for its corporate offices, shopping malls, and high-rise developments.
  • C. Araneta City chosen
    Araneta City is a major commercial and entertainment complex in Quezon City, Philippines, known for its shopping malls, business establishments, and the historic Smart Araneta Coliseum.
  • D. Cubao
    Cubao is a major commercial and transport hub in Quezon City, Metro Manila, known for its shopping centers, bus terminals, and entertainment venues.
  • E. Katipunan station
    Katipunan station is an elevated rapid transit stop in Quezon City, Philippines, serving the Katipunan Avenue area and nearby universities on Manila’s LRT Line 2.
  • 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_69ab4a5212d88190b989ce129f2ad87f completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd2bd92f88190bf100c799f62210c completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af839849288190a6ddf488f3f69203 completed March 10, 2026, 2:36 a.m.
Created at: March 6, 2026, 9:47 p.m.