Triple

T12758653
Position Surface form Disambiguated ID Type / Status
Subject Goregaon E304927 entity
Predicate servedBy P82 FINISHED
Object Mumbai Metro Line 2A E55423 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: Mumbai Metro Line 2A | Statement: [Goregaon, servedBy, Mumbai Metro Line 2A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mumbai Metro Line 2A
Context triple: [Goregaon, servedBy, Mumbai Metro Line 2A]
  • A. Navi Mumbai Metro
    Navi Mumbai Metro is a rapid transit system serving the planned city of Navi Mumbai in the Mumbai Metropolitan Region, designed to improve urban connectivity and reduce traffic congestion.
  • B. Mumbai Metro chosen
    Mumbai Metro is a rapid transit system serving the Mumbai metropolitan region, designed to alleviate congestion and complement the city’s suburban railway network.
  • C. Mumbai Monorail
    Mumbai Monorail is an elevated urban rail system in Mumbai, India, designed to supplement the city's existing public transport network and ease congestion.
  • D. Ahmedabad Metro
    Ahmedabad Metro is a rapid transit system serving the city of Ahmedabad and its surrounding areas in the Indian state of Gujarat.
  • E. Nagpur Metro
    Nagpur Metro is a rapid transit system serving the city of Nagpur in Maharashtra, India, designed to improve urban mobility and reduce traffic congestion.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8d3eb08190ae998df5cc6d9ba6 completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c9c93248190b77c7d229da64ffb completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:27 p.m.