Triple

T7344564
Position Surface form Disambiguated ID Type / Status
Subject Kumaoni E169342 entity
Predicate hasDialects P4251 FINISHED
Object Askoti
Askoti is a regional dialect of the Kumaoni language spoken in parts of Uttarakhand in northern India.
 E658272 NE FINISHED

How this triple was built (4 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: Askoti | Statement: [Kumaoni, hasDialects, Askoti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Askoti
Context triple: [Kumaoni, hasDialects, Askoti]
  • A. Ako
    Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
  • B. Atik
    Atik, also known as Zeta Persei, is a bright blue supergiant star in the constellation Perseus and a prominent member of the Perseus OB2 stellar association.
  • C. Doshi
    Doshi is an Indian surname notably associated with the acclaimed architect and Pritzker Prize laureate Balkrishna Doshi.
  • D. Askim
    Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
  • E. Awankari
    Awankari is a lesser-known Northwestern Indo-Aryan language variety traditionally spoken in parts of northern Pakistan.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Askoti
Triple: [Kumaoni, hasDialects, Askoti]
Generated description
Askoti is a regional dialect of the Kumaoni language spoken in parts of Uttarakhand in northern India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Askoti
Target entity description: Askoti is a regional dialect of the Kumaoni language spoken in parts of Uttarakhand in northern India.
  • A. Ako
    Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
  • B. Atik
    Atik, also known as Zeta Persei, is a bright blue supergiant star in the constellation Perseus and a prominent member of the Perseus OB2 stellar association.
  • C. Doshi
    Doshi is an Indian surname notably associated with the acclaimed architect and Pritzker Prize laureate Balkrishna Doshi.
  • D. Askim
    Askim is a town in southeastern Norway that serves as one of the locations for Østfold University College’s campuses.
  • E. Awankari
    Awankari is a lesser-known Northwestern Indo-Aryan language variety traditionally spoken in parts of northern Pakistan.
  • F. None of above. chosen

Provenance (5 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_69c68a57710481909f0c1f3c6ebdb6f2 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f0eeb30081909d25704ac9b49d0e completed March 27, 2026, 9:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7fa8de0888190b62101471048b8e1 completed March 28, 2026, 3:58 p.m.
NEDg Description generation batch_69c7fbffbc7881909a5b4e877a735848 completed March 28, 2026, 4:04 p.m.
NED2 Entity disambiguation (via description) batch_69c7fcb2605c819080697768d00c77d7 completed March 28, 2026, 4:07 p.m.
Created at: March 27, 2026, 3:05 p.m.