Triple

T2677763
Position Surface form Disambiguated ID Type / Status
Subject MRT Line 3 E56499 entity
Predicate hasStation P35 FINISHED
Object Quezon Avenue station E289573 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: Quezon Avenue station | Statement: [MRT Line 3, hasStation, Quezon Avenue station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quezon Avenue station
Context triple: [MRT Line 3, hasStation, Quezon Avenue 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. Cubao MRT station chosen
    Cubao MRT station is a major elevated rapid transit stop on Manila’s MRT Line 3, serving as a key commuter hub for the Cubao and Araneta City area in Quezon City, Philippines.
  • C. Marikina–Pasig station
    Marikina–Pasig station is an elevated rail station in Metro Manila, Philippines, serving commuters in the cities of Marikina and Pasig along the LRT Line 2 corridor.
  • D. Araneta Center–Cubao LRT station
    Araneta Center–Cubao LRT station is a major elevated light rail transit stop in Quezon City, Philippines, serving the Araneta City commercial and transport hub.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b697fc8190a5ec8b75ee2ad238 completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbb6de488190a0fb87efc7297ccb completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:54 p.m.