Triple

T14150521
Position Surface form Disambiguated ID Type / Status
Subject Nampally E350665 entity
Predicate locatedIn P40 FINISHED
Object central Hyderabad E350665 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: central Hyderabad | Statement: [Nampally, locatedIn, central Hyderabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central Hyderabad
Context triple: [Nampally, locatedIn, central Hyderabad]
  • A. Nampally chosen
    Nampally is a central neighborhood in Hyderabad, India, known for its major railway station, commercial activity, and proximity to key administrative and cultural landmarks.
  • B. Financial District, Hyderabad
    Financial District, Hyderabad is a major business and IT hub in the city, hosting numerous multinational corporations, technology parks, and financial institutions.
  • C. North Mumbai
    North Mumbai is a suburban region of Mumbai known for its rapidly developing residential and commercial neighborhoods, including areas like Malad, Borivali, and Andheri.
  • D. South Delhi
    South Delhi is a prominent and affluent administrative district in India’s capital region, known for its upscale residential neighborhoods, commercial hubs, and cultural landmarks.
  • E. Hyderabad centre
    Hyderabad centre is a regional campus of Kendriya Hindi Sansthan dedicated to promoting and teaching Hindi language and literature in the Hyderabad region.
  • 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_69fcdf21f8c8819097ff26e6bb345b52 completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:56 a.m.