Triple

T13223080
Position Surface form Disambiguated ID Type / Status
Subject Kudal E314803 entity
Predicate administrativeDivision P747 FINISHED
Object Kudal taluka E316880 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: Kudal taluka | Statement: [Kudal, administrativeDivision, Kudal taluka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kudal taluka
Context triple: [Kudal, administrativeDivision, Kudal taluka]
  • A. Kudal taluka chosen
    Kudal taluka is an administrative subdivision in Maharashtra’s Sindhudurg district, known for its coastal Konkan landscape and agricultural economy.
  • B. Palsana taluka
    Palsana taluka is an administrative subdivision in the Surat district of Gujarat, India, comprising a group of villages and towns governed at the taluka level.
  • C. Buldhana
    Buldhana is a district in the Indian state of Maharashtra known for its Marathi-speaking population and use of the Varhadi dialect.
  • D. Bardez taluka
    Bardez taluka is a coastal administrative region in North Goa, India, known for its popular tourist beaches, nightlife, and blend of Goan and Portuguese cultural heritage.
  • E. Yavatmal district
    Yavatmal district is an administrative district in the Vidarbha region of Maharashtra, India, known for its cotton-growing agriculture and predominantly rural landscape.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf74d708190a61d8ad938653b06 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff24be9881908b96f3e72325e55f completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:19 p.m.