Triple

T14150339
Position Surface form Disambiguated ID Type / Status
Subject Nanakramguda E350661 entity
Predicate partOf P40 FINISHED
Object Financial District, Hyderabad E349851 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: Financial District, Hyderabad | Statement: [Nanakramguda, partOf, Financial District, Hyderabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Financial District, Hyderabad
Context triple: [Nanakramguda, partOf, Financial District, Hyderabad]
  • A. Financial District, Hyderabad chosen
    Financial District, Hyderabad is a major business and IT hub in the city, hosting numerous multinational corporations, technology parks, and financial institutions.
  • B. Nampally
    Nampally is a central neighborhood in Hyderabad, India, known for its major railway station, commercial activity, and proximity to key administrative and cultural landmarks.
  • C. GTB Nagar
    GTB Nagar is a prominent residential and commercial neighborhood in North Delhi, India, known for its proximity to Delhi University’s North Campus and strong student presence.
  • D. GTB Nagar
    GTB Nagar is a prominent suburban railway station in Mumbai, India, serving commuters on the city’s Harbour Line.
  • E. Jubilee Hills
    Jubilee Hills is an affluent residential and commercial neighborhood in Hyderabad, India, known for its upscale real estate, celebrity residents, and proximity to major IT and business districts.
  • 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_69fcf7e86820819099d6e3d3d4229f0d completed May 7, 2026, 8:36 p.m.
Created at: April 10, 2026, 12:56 a.m.