Triple

T18447199
Position Surface form Disambiguated ID Type / Status
Subject Pari Chowk E450686 entity
Predicate line P1293 FINISHED
Object Aqua Line — 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: Aqua Line | Statement: [Pari Chowk, line, Aqua Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aqua Line
Context triple: [Pari Chowk, line, Aqua Line]
  • A. Aqua Line
    Aqua Line is one of the main corridors of the Nagpur Metro rapid transit system in Nagpur, India.
  • B. Aqua Line chosen
    Aqua Line is a rapid transit corridor of the Noida Metro system serving key areas of Noida and Greater Noida in the Delhi National Capital Region.
  • C. Harbour Line
    Harbour Line is a Copenhagen Metro route that serves areas along the city’s waterfront and harbor districts.
  • D. 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.
  • E. W Line
    The W Line is a light rail route in the Denver metropolitan area that connects downtown Denver with the western suburbs as part of the Regional Transportation District (RTD) system.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52644959c8190b1117608e5fa15aa completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:30 a.m.