Triple

T14225013
Position Surface form Disambiguated ID Type / Status
Subject Navi Mumbai E352594 entity
Predicate hasResidentialZone P9064 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, hasResidentialZone, Vashi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vashi
Context triple: [Navi Mumbai, hasResidentialZone, 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: hasResidentialZone
Context triple: [Navi Mumbai, hasResidentialZone, Vashi]
  • A. hasResidentialArea chosen
    Indicates that an entity includes, contains, or is associated with an area designated for people to live or reside.
  • B. isResidential
    Indicates that something is used or designated primarily for people to live in, rather than for commercial, industrial, or other non-living purposes.
  • C. isResidentialBaseFor
    Indicates that a location serves as the primary place of residence or home base for a person or group.
  • D. isResidentialUnitOf
    Indicates that a specific residential unit (e.g., apartment, house) belongs to or is part of a larger property, building, or complex.
  • E. isResidentialTown
    Indicates that a town is primarily used or designated for residential living rather than for commercial, industrial, or other primary purposes.
  • 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_69fd281611b48190b787e38ba9c733a4 completed May 8, 2026, 12:02 a.m.
PD Predicate disambiguation batch_69de05bf069c8190b69f00f00f5eb126 completed April 14, 2026, 9:15 a.m.
Created at: April 10, 2026, 1:06 a.m.