Triple

T14150367
Position Surface form Disambiguated ID Type / Status
Subject Nanakramguda E350661 entity
Predicate nearbyArea P2064 FINISHED
Object Gachibowli E349849 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: Gachibowli | Statement: [Nanakramguda, nearbyArea, Gachibowli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gachibowli
Context triple: [Nanakramguda, nearbyArea, Gachibowli]
  • A. Gachibowli chosen
    Gachibowli is a major IT and residential hub in Hyderabad, India, known for its technology parks, corporate offices, and educational institutions.
  • B. Gandipet
    Gandipet is a locality on the outskirts of Hyderabad, India, best known for the nearby Osman Sagar (Gandipet Lake) and its popular lakeside recreational areas.
  • C. Ravulapalem
    Ravulapalem is a town in the Indian state of Andhra Pradesh, known for its agricultural markets and location along key transport routes in the Godavari region.
  • D. Eluru
    Eluru is a city in the Indian state of Andhra Pradesh, known as a regional administrative and commercial center with historical significance and connectivity along major transport routes.
  • E. Kondapur
    Kondapur is a rapidly developing residential and commercial suburb in Hyderabad, India, known for its proximity to major IT hubs and tech parks.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6124e23481909e5132a40a1d8624 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd2802ba608190849313ff2661cd07 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 12:56 a.m.