Triple

T14150304
Position Surface form Disambiguated ID Type / Status
Subject Raidurg E350660 entity
Predicate partOf P40 FINISHED
Object Cyberabad IT hub E70266 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: Cyberabad IT hub | Statement: [Raidurg, partOf, Cyberabad IT hub]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cyberabad IT hub
Context triple: [Raidurg, partOf, Cyberabad IT hub]
  • A. Cyberabad chosen
    Cyberabad is a popular moniker for the technology-driven, IT and software hub aspects of Hyderabad, India.
  • B. Cybercity Magarpatta
    Cybercity Magarpatta is the major IT and business hub within Magarpatta City in Pune, India, housing numerous technology companies and corporate offices.
  • C. NESCO IT Park
    NESCO IT Park is a major commercial and information technology hub in Goregaon, Mumbai, housing numerous corporate offices and tech companies.
  • D. Cyberpark district
    Cyberpark district is a technology-focused urban area that hosts the Cyberpark 3 complex and other innovation-oriented facilities.
  • E. Pune IT corridor
    Pune IT corridor is a major technology and business hub in Pune, India, encompassing key IT parks and corporate campuses such as Hinjawadi IT Park.
  • 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.