Triple

T14164027
Position Surface form Disambiguated ID Type / Status
Subject Uppal E351022 entity
Predicate administrativeDivision P747 FINISHED
Object Uppal mandal E351022 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: Uppal mandal | Statement: [Uppal, administrativeDivision, Uppal mandal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uppal mandal
Context triple: [Uppal, administrativeDivision, Uppal mandal]
  • A. Serilingampally mandal
    Serilingampally mandal is an administrative subdivision in the Hyderabad metropolitan region of Telangana, India, encompassing several rapidly developing urban and suburban localities.
  • B. Warangal East
    Warangal East is a state legislative assembly constituency in Telangana, India, representing part of the urban area of Warangal city.
  • C. Warangal West
    Warangal West is a legislative assembly constituency in the Indian state of Telangana that represents part of the urban area of Warangal city in the state legislature.
  • D. Uppal chosen
    Uppal is a suburban area of Hyderabad in the Indian state of Telangana, known for hosting the Rajiv Gandhi International Cricket Stadium.
  • E. Mahbubnagar
    Mahbubnagar is a town and district headquarters in the Indian state of Telangana, known for its agricultural surroundings and proximity to major rivers and irrigation projects.
  • 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_69de61b207cc8190b85b1ff0910b54da completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f3170481909f3981c1e56235d9 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 12:59 a.m.