Triple

T11828140
Position Surface form Disambiguated ID Type / Status
Subject Vasai E281309 entity
Predicate partOf P40 FINISHED
Object Vasai-Virar E714926 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: Vasai-Virar | Statement: [Vasai, partOf, Vasai-Virar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasai-Virar
Context triple: [Vasai, partOf, Vasai-Virar]
  • A. Vasai-Virar chosen
    Vasai-Virar is a rapidly growing suburban city and municipal corporation in the northern part of the Mumbai metropolitan area in Maharashtra, India.
  • B. Navi Mumbai
    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.
  • C. Dadar
    Dadar is a major commercial and residential neighborhood in central Mumbai, India, known as a key transit hub and marketplace in the city.
  • D. Thane
    Thane is a major city in western India known for its numerous lakes and its proximity to Mumbai.
  • E. 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.
  • 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_69d6ab276f8c8190b1966a0ef11349ac completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5ec3a148190bb184ba0d481b16a completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f48a35f9d081909c4cc7d7ce78e4fc completed May 1, 2026, 11:10 a.m.
Created at: April 8, 2026, 9:43 p.m.