Triple

T6970839
Position Surface form Disambiguated ID Type / Status
Subject Mazagon Dock Shipbuilders Limited E161592 entity
Predicate hasShipyardFacilityIn P4334 FINISHED
Object Nhava, 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: Nhava, Navi Mumbai | Statement: [Mazagon Dock Shipbuilders Limited, hasShipyardFacilityIn, Nhava, Navi Mumbai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nhava, Navi Mumbai
Context triple: [Mazagon Dock Shipbuilders Limited, hasShipyardFacilityIn, Nhava, 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. 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.
  • C. Thane
    Thane is a major city in western India known for its numerous lakes and its proximity to Mumbai.
  • D. Viman Nagar
    Viman Nagar is a prominent residential and commercial neighborhood in Pune, India, known for its proximity to the airport, IT parks, shopping malls, and educational institutions.
  • E. Mira-Bhayandar
    Mira-Bhayandar is a rapidly growing suburban city in the Mumbai Metropolitan Region of Maharashtra, India, known for its residential townships and industrial 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_69c68854a0d88190bc0bf82263f1afce completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1d144648190b7e6558246b013e3 completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7619ebab88190916e3d68068ed71d completed March 28, 2026, 5:05 a.m.
Created at: March 27, 2026, 2:30 p.m.