Triple

T14150311
Position Surface form Disambiguated ID Type / Status
Subject Raidurg E350660 entity
Predicate near P350 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: [Raidurg, near, Financial District Hyderabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Financial District Hyderabad
Context triple: [Raidurg, near, 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. 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.
  • D. Whitefield IT corridor
    Whitefield IT corridor is a major technology and business hub in Bengaluru, India, known for its concentration of IT parks, multinational companies, and supporting urban infrastructure.
  • E. Noida Sector 101
    Noida Sector 101 is a metro station in Noida, Uttar Pradesh, India, serving residential and commercial areas along the Noida Metro’s Aqua Line.
  • 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.