Triple

T4872264
Position Surface form Disambiguated ID Type / Status
Subject Moolchand E109111 entity
Predicate servedBy P82 FINISHED
Object Delhi Metro Violet Line E19472 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: Delhi Metro Violet Line | Statement: [Moolchand, servedBy, Delhi Metro Violet Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Delhi Metro Violet Line
Context triple: [Moolchand, servedBy, Delhi Metro Violet Line]
  • A. Delhi Metro chosen
    Delhi Metro is a rapid transit system serving Delhi and its surrounding metropolitan region, known for its extensive network, modern infrastructure, and role in easing urban congestion.
  • B. Noida Metro
    Noida Metro is a rapid transit system serving the city of Noida and its surrounding areas in India’s National Capital Region.
  • C. Mumbai Metro
    Mumbai Metro is a rapid transit system serving the Mumbai metropolitan region, designed to alleviate congestion and complement the city’s suburban railway network.
  • D. Rapid Metro Gurgaon
    Rapid Metro Gurgaon is a privately built and operated light rapid transit system serving key commercial and residential areas of Gurugram in the National Capital Region of India.
  • E. Lucknow Metro
    Lucknow Metro is a rapid transit system serving the city of Lucknow in Uttar Pradesh, India, designed to provide fast, modern urban transportation.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d9e27908190a0c4540ee2559c4b completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba4d76808190843622211d1eac6f completed March 21, 2026, 3:33 p.m.
Created at: March 20, 2026, 1:27 p.m.