Triple

T19396210
Position Surface form Disambiguated ID Type / Status
Subject Peoples of Dagestan E485193 entity
Predicate hasPart P35 FINISHED
Object Tsakhurs E259671 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: Tsakhurs | Statement: [Peoples of Dagestan, hasPart, Tsakhurs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsakhurs
Context triple: [Peoples of Dagestan, hasPart, Tsakhurs]
  • A. Tsakhurs chosen
    Tsakhurs are a Northeast Caucasian ethnic group traditionally inhabiting mountainous regions of present-day Azerbaijan and Dagestan, known for their distinct language and rich folk culture.
  • B. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • C. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • D. Yalpukh
    Yalpukh is a large freshwater lake in southwestern Ukraine, known as one of the biggest natural lakes in the Danube Delta region.
  • E. Shughni
    Shughni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan, known for its use among the Shughni people in the Pamir Mountains.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62573f5788190a635b92121db2cf7 completed April 20, 2026, 1:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0733c7af248190846f72a13df5b741 completed May 15, 2026, 2:55 p.m.
Created at: April 10, 2026, 1:36 p.m.