Triple

T6055367
Position Surface form Disambiguated ID Type / Status
Subject Varhadi dialect E134895 entity
Predicate spokenIn P2266 FINISHED
Object Washim district E491311 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: Washim district | Statement: [Varhadi dialect, spokenIn, Washim district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Washim district
Context triple: [Varhadi dialect, spokenIn, Washim district]
  • A. Washim district chosen
    Washim district is an administrative district in the Vidarbha region of Maharashtra, India, known for its predominantly agrarian economy and historical temples.
  • B. Maizuru District
    Maizuru District is a regional command of the Japan Maritime Self-Defense Force responsible for naval operations and defense in the Maizuru area of Japan.
  • C. Nishiusuki District
    Nishiusuki District is a rural administrative district in Miyazaki Prefecture, Japan, known for its mountainous terrain and small towns such as Takachiho.
  • D. Ominato District
    Ominato District is a regional command of the Japan Maritime Self-Defense Force responsible for naval operations and defense in the northern waters of Japan.
  • E. Ōsu district
    Ōsu district is a popular shopping and entertainment area in Nagoya, Japan, known for its mix of traditional temples, vintage shops, electronics stores, and vibrant street festivals.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0570a863c819090291775245708d6 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113b06d188190839cfc48a2461d65 completed March 23, 2026, 10:19 a.m.
Created at: March 22, 2026, 4:09 p.m.