Triple

T8862948
Position Surface form Disambiguated ID Type / Status
Subject Mandaluyong E210936 entity
Predicate hasRailTransit P522 FINISHED
Object MRT Line 3 E56499 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: MRT Line 3 | Statement: [Mandaluyong, hasRailTransit, MRT Line 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MRT Line 3
Context triple: [Mandaluyong, hasRailTransit, 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 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.
  • C. 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.
  • D. Metro Line 3
    Metro Line 3 is a major Mexico City Metro route that runs north–south across the city, connecting key residential and commercial areas including the Gustavo A. Madero borough.
  • E. MRT Line 6
    MRT Line 6 is the inaugural mass rapid transit corridor of Dhaka, Bangladesh, forming the backbone of the city’s emerging metro rail network.
  • 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_69ca838bbddc8190ab546d737e5d350f completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc610263048190931bb2c3ac573a08 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0c248108190815d593f44029183 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:50 p.m.