Triple

T23035717
Position Surface form Disambiguated ID Type / Status
Subject MRT Line 6 E573588 entity
Predicate alsoKnownAs P39 FINISHED
Object Dhaka Metro MRT Line 6 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: Dhaka Metro MRT Line 6 | Statement: [MRT Line 6, alsoKnownAs, Dhaka Metro MRT Line 6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dhaka Metro MRT Line 6
Context triple: [MRT Line 6, alsoKnownAs, Dhaka Metro MRT Line 6]
  • A. Dhaka Metro Rail
    Dhaka Metro Rail is the rapid transit system serving Bangladesh’s capital, designed to reduce traffic congestion and improve urban mobility.
  • B. Maha Metro
    Maha Metro is the state-owned company responsible for developing and operating metro rail systems in Maharashtra, India.
  • C. Dhaka Mass Transit Company Limited
    Dhaka Mass Transit Company Limited is the state-owned company responsible for developing, operating, and managing Dhaka’s urban metro rail transit system.
  • D. MRT Line 6 chosen
    MRT Line 6 is the inaugural mass rapid transit corridor of Dhaka, Bangladesh, forming the backbone of the city’s emerging metro rail network.
  • E. Tehran Metro Line 6
    Tehran Metro Line 6 is a major north–south and east–west rapid transit line in Tehran’s urban rail network, designed to improve connectivity across central and peripheral districts of Iran’s capital.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1850df7fc81909ee522d99d96af0d completed April 29, 2026, 4:11 a.m.
Created at: April 17, 2026, 3:53 p.m.