Triple

T14225018
Position Surface form Disambiguated ID Type / Status
Subject Navi Mumbai E352594 entity
Predicate hasResidentialZone P9064 FINISHED
Object Ghansoli E921197 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: Ghansoli | Statement: [Navi Mumbai, hasResidentialZone, Ghansoli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghansoli
Context triple: [Navi Mumbai, hasResidentialZone, Ghansoli]
  • A. Ghansoli chosen
    Ghansoli is a rapidly developing residential and commercial node in Navi Mumbai, Maharashtra, known for its growing IT parks, educational institutions, and connectivity to Mumbai via rail and road.
  • B. Dhrol
    Dhrol is a town in the Jamnagar district of Gujarat, India, known historically as the seat of the former princely Dhrol State.
  • C. Narsingi
    Narsingi is a rapidly developing residential and commercial suburb in the western part of Hyderabad, Telangana, known for its proximity to the IT corridor and Outer Ring Road.
  • D. Marvadi
    Marvadi is an alternative name for the Marwari people and their Indo-Aryan language traditionally associated with the Marwar region of Rajasthan, India.
  • E. Khandala
    Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
  • 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_69fd324f501081908f7017302bc40b3a completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:06 a.m.