Triple

T2967025
Position Surface form Disambiguated ID Type / Status
Subject Sindhudurg E80190 entity
Predicate partOf P40 FINISHED
Object Konkan division E14446 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: Konkan division | Statement: [Sindhudurg, partOf, Konkan division]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konkan division
Context triple: [Sindhudurg, partOf, Konkan division]
  • A. Konkan chosen
    Konkan is a rugged, coastal region along the western shoreline of India, known for its distinctive culture, cuisine, and scenic Arabian Sea beaches.
  • B. Khandesh
    Khandesh is a historical region in northwestern Maharashtra, India, known for its distinct cultural identity and fertile agricultural plains along the Tapi River.
  • C. Saurashtra State
    Saurashtra State was a former state in western India formed after independence by merging numerous princely states on the Kathiawar peninsula, later integrated into the modern state of Gujarat.
  • D. Benares Division
    Benares Division was an administrative division centered around the historic city of Benares (Varanasi) in British India’s North-Western Provinces.
  • E. Hyderabad Division
    Hyderabad Division is an administrative division in the Sindh province of Pakistan that encompasses the city of Hyderabad and surrounding districts.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad996e93788190ba9883714d4dfa0c completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1de9657648190a7f0309065f80728 completed March 11, 2026, 9:28 p.m.
Created at: March 8, 2026, 2:58 p.m.