Triple

T11500113
Position Surface form Disambiguated ID Type / Status
Subject Mumbai Metropolitan Region Development Authority E272640 entity
Predicate serviceArea P82 FINISHED
Object Navi Mumbai E352594 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: Navi Mumbai | Statement: [Mumbai Metropolitan Region Development Authority, serviceArea, Navi Mumbai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Navi Mumbai
Context triple: [Mumbai Metropolitan Region Development Authority, serviceArea, Navi Mumbai]
  • A. Navi Mumbai chosen
    Navi Mumbai is a planned satellite city across the harbor from Mumbai, developed to decongest the main metropolis and featuring organized residential, commercial, and industrial zones.
  • B. Thane
    Thane is a major city in western India known for its numerous lakes and its proximity to Mumbai.
  • C. Panvel
    Panvel is a major railway and commercial hub in Navi Mumbai, Maharashtra, serving as an important junction and gateway between Mumbai and the wider Konkan region.
  • D. Kalyan-Dombivli
    Kalyan-Dombivli is a major twin-city and residential-industrial hub in the Thane district of Maharashtra, forming an important suburban cluster near Mumbai.
  • E. Andheri
    Andheri is a major residential, commercial, and transport hub in Mumbai, India, known for its busy railway station, metro connectivity, and proximity to the city’s airports and film industry areas.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de3e9c881909d6c55334f7a832d completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6a52daf1c81909c586e470a998073 completed May 3, 2026, 1:30 a.m.
Created at: April 8, 2026, 9:36 p.m.