Triple

T6017182
Position Surface form Disambiguated ID Type / Status
Subject Lucknow district E133975 entity
Predicate hasMetroSystem P522 FINISHED
Object Lucknow Metro E119965 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: Lucknow Metro | Statement: [Lucknow district, hasMetroSystem, Lucknow Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucknow Metro
Context triple: [Lucknow district, hasMetroSystem, Lucknow Metro]
  • A. Lucknow Metro chosen
    Lucknow Metro is a rapid transit system serving the city of Lucknow in Uttar Pradesh, India, designed to provide fast, modern urban transportation.
  • 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. Ahmedabad Metro
    Ahmedabad Metro is a rapid transit system serving the city of Ahmedabad and its surrounding areas in the Indian state of Gujarat.
  • D. Hyderabad Metro
    Hyderabad Metro is a rapid transit system serving the city of Hyderabad, India, featuring multiple elevated corridors designed to ease urban traffic congestion and improve public transportation.
  • E. Lucknow–Kanpur Suburban Railway
    The Lucknow–Kanpur Suburban Railway is a key suburban rail corridor in Uttar Pradesh that connects the major cities of Lucknow and Kanpur, serving dense commuter traffic between them.
  • 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_69c0087361a48190905c6b55969852b8 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f8458588190a78aa32cbdbecfb1 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108b2f09081908e94f1932aad6e58 completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:06 p.m.