Triple

T12963952
Position Surface form Disambiguated ID Type / Status
Subject Malate, Manila E321215 entity
Predicate publicTransport P1288 FINISHED
Object LRT Line 1 E277591 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: LRT Line 1 | Statement: [Malate, Manila, publicTransport, LRT Line 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LRT Line 1
Context triple: [Malate, Manila, publicTransport, LRT Line 1]
  • A. LRT Line 1 chosen
    LRT Line 1 is a major elevated urban rail line in Metro Manila, Philippines, forming part of the city’s light rail transit system and serving as a key north–south transport corridor.
  • B. LRT Line 2
    LRT Line 2 is an elevated rapid transit line in Metro Manila, Philippines, running east–west and serving major areas including Quezon City, Manila, and Pasig.
  • C. Metro Line 1
    Metro Line 1 is a primary rapid transit route in its city's metro system, serving as a major corridor for passenger travel and interchanges with other lines.
  • D. MRT Light Red Line
    The MRT Light Red Line is a commuter rail line in Bangkok’s Mass Rapid Transit network serving suburban areas to the north and west of the city.
  • E. MRT Blue Line
    The MRT Blue Line is a major rapid transit route in Bangkok’s Metropolitan Rapid Transit system, serving as one of the city’s primary underground and elevated rail corridors.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e30b7e88190ac07c91147b62d16 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e227948190a2d08db97b4e41aa completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:25 p.m.