Triple

T19267181
Position Surface form Disambiguated ID Type / Status
Subject City of Makati E481814 entity
Predicate hasPublicTransport P1288 FINISHED
Object MRT Line 3 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: MRT Line 3 | Statement: [City of Makati, hasPublicTransport, MRT Line 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MRT Line 3
Context triple: [City of Makati, hasPublicTransport, MRT Line 3]
  • A. MRT Line 3 chosen
    MRT Line 3 is a major elevated rapid transit line in Metro Manila that runs along EDSA, serving as one of the region’s primary commuter rail corridors.
  • B. MRT Line 4
    MRT Line 4 is a planned elevated rapid transit line intended to connect key eastern suburbs with central Metro Manila in the Philippines.
  • C. MRT Line 5
    MRT Line 5 is a planned major rapid transit corridor of the Dhaka Metro Rail network intended to improve urban connectivity and reduce congestion in Bangladesh’s capital.
  • D. MRT Line 7
    MRT Line 7 is a rapid transit line under development in Metro Manila, Philippines, intended to connect Quezon City with the city of San Jose del Monte in Bulacan.
  • E. MRT Orange Line
    The MRT Orange Line is a rapid transit route in Bangkok’s Mass Rapid Transit system designed to connect key eastern and western parts of the city.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8e1f888190a95f60fa29ca3b98 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:29 p.m.