Triple

T4762420
Position Surface form Disambiguated ID Type / Status
Subject Nagpur Metro E105726 entity
Predicate hasColorDesignation P60 FINISHED
Object Aqua Line E466972 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: Aqua Line | Statement: [Nagpur Metro, hasColorDesignation, Aqua Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aqua Line
Context triple: [Nagpur Metro, hasColorDesignation, Aqua Line]
  • A. Aqua Line chosen
    Aqua Line is one of the main corridors of the Nagpur Metro rapid transit system in Nagpur, India.
  • B. Harbour Line
    Harbour Line is a Copenhagen Metro route that serves areas along the city’s waterfront and harbor districts.
  • C. Harbour Line
    Harbour Line is a major corridor of Mumbai's suburban railway network that connects the city’s eastern waterfront and Navi Mumbai suburbs to key central and southern Mumbai terminals.
  • D. L Line
    The L Line was a light rail route in the Los Angeles Metro Rail system that connected communities across the San Gabriel Valley and Eastside before being integrated into other lines.
  • E. Gold Line
    Gold Line was the former name of a light rail line in the Los Angeles Metro Rail system, now known as the L Line.
  • 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd651091cc81909b835439c85e842f completed March 20, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43bad99c8190a170baefea057038 completed March 21, 2026, 7:07 a.m.
Created at: March 20, 2026, 1:20 p.m.