Triple

T23071507
Position Surface form Disambiguated ID Type / Status
Subject Taymuri E575207 entity
Predicate locatedIn P40 FINISHED
Object Hazarajat region NE NERFINISHED

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: Hazarajat region | Statement: [Taymuri, locatedIn, Hazarajat region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hazarajat region
Context triple: [Taymuri, locatedIn, Hazarajat region]
  • A. Hazarajat region chosen
    The Hazarajat region is a mountainous, predominantly Hazara-inhabited area in central Afghanistan known for its remote highlands and distinct cultural identity.
  • B. Masalli region
    Masalli region is an administrative district in southern Azerbaijan, known for its Talysh population, subtropical climate, and agricultural production.
  • C. Talysh region
    The Talysh region is a historical area in the South Caucasus along the southwestern Caspian Sea, traditionally inhabited by the Talysh people and spanning parts of present-day Azerbaijan and Iran.
  • D. Ahal Region
    Ahal Region is an administrative province in south-central Turkmenistan that surrounds the capital city, Ashgabat.
  • E. Lebap Region
    Lebap Region is an administrative province in eastern Turkmenistan known for its major city Turkmenabat and its location along the Amu Darya River.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c5ffad881909ed626045c15dd33 completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.