Triple

T23093981
Position Surface form Disambiguated ID Type / Status
Subject Tedim language E575832 entity
Predicate hasDialects P4251 FINISHED
Object Sukte
Sukte is a dialect of the Tedim language spoken by the Sukte people, primarily in parts of northeastern India and neighboring regions.
 E1570415 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: Sukte | Statement: [Tedim language, hasDialects, Sukte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sukte
Context triple: [Tedim language, hasDialects, Sukte]
  • A. Sukeva
    Sukeva is a village in northern Finland best known for housing the Sukevan vankila prison facility.
  • B. Sukezane
    Sukezane is a Japanese surname borne by various individuals, including contemporary actress Kiki Sukezane.
  • C. Skeheenarinky
    Skeheenarinky is a small rural village in southern Ireland known for its scenic countryside and traditional community character.
  • D. Sokout
    Sokout is an Iranian film featuring actor Behrouz Vossoughi, known for its place in classic Persian cinema.
  • E. Sussala
    Sussala was a medieval ruler of Kashmir from the Lohara dynasty, known for his turbulent reign marked by internal conflicts and efforts to consolidate royal authority.
  • 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: Sukte
Triple: [Tedim language, hasDialects, Sukte]
Generated description
Sukte is a dialect of the Tedim language spoken by the Sukte people, primarily in parts of northeastern India and neighboring regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sukte
Target entity description: Sukte is a dialect of the Tedim language spoken by the Sukte people, primarily in parts of northeastern India and neighboring regions.
  • A. Sukeva
    Sukeva is a village in northern Finland best known for housing the Sukevan vankila prison facility.
  • B. Sukezane
    Sukezane is a Japanese surname borne by various individuals, including contemporary actress Kiki Sukezane.
  • C. Skeheenarinky
    Skeheenarinky is a small rural village in southern Ireland known for its scenic countryside and traditional community character.
  • D. Sokout
    Sokout is an Iranian film featuring actor Behrouz Vossoughi, known for its place in classic Persian cinema.
  • E. Sussala
    Sussala was a medieval ruler of Kashmir from the Lohara dynasty, known for his turbulent reign marked by internal conflicts and efforts to consolidate royal authority.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de2ed088190971ff08c58b15aad completed April 29, 2026, 4:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15b97b6881909cbc1afc68ea80b6 completed May 19, 2026, 7:48 a.m.
NEDg Description generation batch_6a0c175e246081909d6451f245ccfe66 completed May 19, 2026, 7:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0c1820a4d88190aed59f50b4e7ec47 completed May 19, 2026, 7:58 a.m.
Created at: April 17, 2026, 3:57 p.m.