Triple

T13591234
Position Surface form Disambiguated ID Type / Status
Subject Mandya district E324695 entity
Predicate legislativeAssemblyConstituency P23217 FINISHED
Object Mandya E1050942 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: Mandya | Statement: [Mandya district, legislativeAssemblyConstituency, Mandya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandya
Context triple: [Mandya district, legislativeAssemblyConstituency, Mandya]
  • A. Mandya city chosen
    Mandya city is an urban center in the Indian state of Karnataka, known for its sugarcane cultivation and role as the administrative and commercial hub of Mandya district.
  • B. Mandya district
    Mandya district is an administrative district in the southern Indian state of Karnataka, known for its fertile agricultural lands and historic towns such as Srirangapatna and Mandya.
  • C. Kundapura
    Kundapura is a coastal town in the Udupi district of Karnataka, India, known for its temples, beaches, and distinct regional culture.
  • D. Chikkodi
    Chikkodi is a prominent town in Karnataka, India, known for its agricultural economy—especially sugarcane cultivation—and its role as a local commercial and educational hub.
  • E. Battakundi
    Battakundi is a small scenic village and tourist stopover located in Pakistan’s mountainous Kaghan Valley.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb056ce088190a6feb4266633d18b completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d3f80c081908710b46a42fb13a3 completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:49 p.m.