Triple

T8034793
Position Surface form Disambiguated ID Type / Status
Subject Violet Line E187077 entity
Predicate interchangeWith P3495 FINISHED
Object Magenta Line E188913 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: Magenta Line | Statement: [Violet Line, interchangeWith, Magenta Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magenta Line
Context triple: [Violet Line, interchangeWith, Magenta Line]
  • A. Magenta Line chosen
    The Magenta Line is a rapid transit corridor of the Delhi Metro network in India, connecting key residential, commercial, and institutional areas across the city and its suburbs.
  • B. Violet Line
    Violet Line is one of the major corridors of the Delhi Metro network, connecting central Delhi with key southern and southeastern suburbs.
  • C. Yellow Line
    The Yellow Line is one of the color-coded rapid transit routes in the Washington Metro system, running primarily in a north–south direction and serving key areas in Washington, D.C. and Northern Virginia.
  • D. Yellow Line
    The Yellow Line is a designated route within the Baltimore Light Rail system that serves as one of its primary color-coded service lines.
  • E. Yellow Line
    The Yellow Line is a major corridor of Bengaluru’s Namma Metro system designed to improve north–south connectivity across the city.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef50f4c8190a895ac301f182734 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6759e83c8190869732f955279cee completed April 1, 2026, 6:43 p.m.
Created at: March 30, 2026, 5:22 p.m.