Triple

T14225022
Position Surface form Disambiguated ID Type / Status
Subject Navi Mumbai E352594 entity
Predicate hasCommercialHub P9422 FINISHED
Object Vashi E268120 NE FINISHED

How this triple was built (3 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: Vashi | Statement: [Navi Mumbai, hasCommercialHub, Vashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vashi
Context triple: [Navi Mumbai, hasCommercialHub, Vashi]
  • A. Vashi chosen
    Vashi is a major suburban railway station and commercial-residential hub in Navi Mumbai, India.
  • B. Modasa
    Modasa is a town in the Indian state of Gujarat that serves as the administrative headquarters of Aravalli district.
  • C. Kharadi
    Kharadi is a rapidly developing suburb in Pune, India, known as a major IT and business hub with modern infrastructure and residential complexes.
  • D. Barvikha
    Barvikha is an affluent suburban settlement west of Moscow, known for its luxury residences, elite dachas, and high-profile residents from Russia’s political and business elite.
  • E. Shamshabad
    Shamshabad is a suburban area near Hyderabad in the Indian state of Telangana, known primarily for hosting the Rajiv Gandhi International Airport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCommercialHub
Context triple: [Navi Mumbai, hasCommercialHub, Vashi]
  • A. isCommercialHubIn chosen
    Indicates that a place functions as a primary center of commercial or business activity within a specified larger area or region.
  • B. hasCommercialServices
    Indicates that one entity provides or offers commercial services to another entity or within a specified context.
  • C. hasCommercialField
    Indicates that one entity possesses or is associated with a commercial-related field, area, or domain in relation to another entity.
  • D. hasCommercialFunction
    Indicates that an entity serves a commercial role or purpose, such as engaging in trade, sales, or other profit-oriented activities.
  • E. hasCommercialAxis
    Indicates that there exists a primary direction, route, or area along which commercial or business activities are concentrated or organized.
  • F. None of above.

Provenance (4 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6228e53c8190abbe4e2d88a7362a completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324f501081908f7017302bc40b3a completed May 8, 2026, 12:46 a.m.
PD Predicate disambiguation batch_69de05bf069c8190b69f00f00f5eb126 completed April 14, 2026, 9:15 a.m.
Created at: April 10, 2026, 1:06 a.m.