Triple

T5243432
Position Surface form Disambiguated ID Type / Status
Subject Lajpat Nagar E118399 entity
Predicate hasTransport P1298 FINISHED
Object Delhi Metro 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 | Statement: [Lajpat Nagar, hasTransport, Delhi Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Delhi Metro
Context triple: [Lajpat Nagar, hasTransport, Delhi Metro]
  • 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. Kolkata Metro
    Kolkata Metro is India’s oldest rapid transit system, serving as a major urban rail network for the city of Kolkata and its surrounding areas.
  • E. 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.
  • 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_69bd4468aacc8190a8196f71855cdf4f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b4da7308190856cdcee9cca41eb completed March 20, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06b8a0e881909d6037fb8fca1236 completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:49 p.m.