Triple

T14478435
Position Surface form Disambiguated ID Type / Status
Subject Gandipet E359035 entity
Predicate administrativeDivision P747 FINISHED
Object Gandipet mandal E359035 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: Gandipet mandal | Statement: [Gandipet, administrativeDivision, Gandipet mandal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gandipet mandal
Context triple: [Gandipet, administrativeDivision, Gandipet 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. Nandipet
    Nandipet is a village located in the Nizamabad district of the Indian state of Telangana.
  • C. Gandipet chosen
    Gandipet is a locality on the outskirts of Hyderabad, India, best known for the nearby Osman Sagar (Gandipet Lake) and its popular lakeside recreational areas.
  • D. Shamshabad mandal
    Shamshabad mandal is an administrative sub-division in the Indian state of Telangana, encompassing the town of Shamshabad and surrounding villages near Hyderabad.
  • E. Siddipet
    Siddipet is a prominent town in the Indian state of Telangana, known as an important regional center for administration, trade, and education.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de9248edb48190a74eb032aeaac027 completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a257488190818c65c1cc84c4b5 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.