Triple

T14225016
Position Surface form Disambiguated ID Type / Status
Subject Navi Mumbai E352594 entity
Predicate hasResidentialZone P9064 FINISHED
Object Kharghar E921196 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: Kharghar | Statement: [Navi Mumbai, hasResidentialZone, Kharghar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kharghar
Context triple: [Navi Mumbai, hasResidentialZone, Kharghar]
  • A. Kharghar chosen
    Kharghar is a rapidly developing residential and commercial node in Navi Mumbai, Maharashtra, known for its planned infrastructure and connectivity to Mumbai via the suburban railway network.
  • B. Ballabgarh
    Ballabgarh is a historic town and industrial hub in the Faridabad district of Haryana, India, known for its markets, temples, and manufacturing activity.
  • C. Faridabad
    Faridabad is a major industrial city in northern India known for its manufacturing sector and its location within the National Capital Region near New Delhi.
  • D. Jasola
    Jasola is a residential and commercial neighborhood in South Delhi, India, known for its mix of housing complexes, offices, and proximity to major roads and metro connectivity.
  • E. Kalyani Nagar
    Kalyani Nagar is an upscale residential and commercial neighborhood in Pune, India, known for its IT parks, shopping malls, and vibrant dining and nightlife options.
  • 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_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.
Created at: April 10, 2026, 1:06 a.m.