Triple

T2677759
Position Surface form Disambiguated ID Type / Status
Subject MRT Line 3 E56499 entity
Predicate connectsWith P37 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: [MRT Line 3, connectsWith, LRT Line 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LRT Line 1
Context triple: [MRT Line 3, connectsWith, 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. RTA Waterfront Line
    The RTA Waterfront Line is a light rail line in Cleveland, Ohio, that connects downtown with the city's waterfront attractions and nearby neighborhoods.
  • E. MRT Line 3
    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.
  • 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_69afaf57675c8190a0c4a5fb674c4df6 completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:54 p.m.