Triple

T14163471
Position Surface form Disambiguated ID Type / Status
Subject Hyderabad International Convention Centre E351007 entity
Predicate locatedIn P40 FINISHED
Object Cyberabad 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 | Statement: [Hyderabad International Convention Centre, locatedIn, Cyberabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cyberabad
Context triple: [Hyderabad International Convention Centre, locatedIn, Cyberabad]
  • 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. Ameerpet
    Ameerpet is a major commercial and educational hub in Hyderabad, India, known for its dense concentration of training institutes, offices, and shopping centers.
  • D. Sheger City
    Sheger City is a newly established administrative city in Ethiopia that encompasses parts of Addis Ababa and its surroundings, serving as a growing political and cultural hub.
  • E. Modasa
    Modasa is a town in the Indian state of Gujarat that serves as the administrative headquarters of Aravalli district.
  • 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_69de613a4a2081908fd51bf4b4d82b6c completed April 14, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193dbbcc819082043d92c174164c completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 12:59 a.m.