Triple

T14876061
Position Surface form Disambiguated ID Type / Status
Subject Khairatabad E349869 entity
Predicate near P350 FINISHED
Object Somajiguda E1094946 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: Somajiguda | Statement: [Khairatabad, near, Somajiguda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somajiguda
Context triple: [Khairatabad, near, Somajiguda]
  • A. Somajiguda chosen
    Somajiguda is a prominent commercial and residential neighborhood in Hyderabad, India, known for its shopping centers, corporate offices, and proximity to major city landmarks.
  • B. Nandigrama
    Nandigrama is the kingdom or region traditionally associated with and ruled by the legendary Indian emperor Bharata in ancient Hindu literature.
  • C. Nanakramguda
    Nanakramguda is a prominent IT and financial district in Hyderabad, India, known for housing major technology parks, corporate offices, and the city’s financial services hub.
  • D. Bhavanaga
    Bhavanaga was a queen consort associated with the Western Chalukya ruler Tailapa II in medieval India.
  • E. Ghodageri
    Ghodageri is a village in Karnataka, India, known as the birthplace of renowned Kannada writer and Jnanpith awardee Chandrashekhara Kambara.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e3e5d48190a132f2cf012b01e2 completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dbf1f5c8190ad4626d14e0d8109 completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:55 a.m.