Triple

T23543050
Position Surface form Disambiguated ID Type / Status
Subject Taimuri Aimaq E577807 entity
Predicate relatedEthnicGroup P1969 FINISHED
Object Jamshidi Aimaq 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: Jamshidi Aimaq | Statement: [Taimuri Aimaq, relatedEthnicGroup, Jamshidi Aimaq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamshidi Aimaq
Context triple: [Taimuri Aimaq, relatedEthnicGroup, Jamshidi Aimaq]
  • A. Jamshidi Aimaq chosen
    Jamshidi Aimaq are a semi-nomadic Persian-speaking ethnic group of western Afghanistan, traditionally engaged in pastoralism and known as one of the main Aimaq tribal communities.
  • B. Tafileh
    Tafileh is a town in southern Jordan known for its historical significance and strategic location in the region’s mountainous terrain.
  • C. Aimaq
    Aimaq are a Persian-speaking, traditionally semi-nomadic ethnic group primarily inhabiting western and central Afghanistan and parts of eastern Iran.
  • D. Shastan
    Shastan is a Native American language (or group of closely related languages) historically spoken by the Shasta people of northern California and southern Oregon.
  • E. Negahban
    Negahban is the surname of Navid Negahban, an Iranian-American actor known for his roles in film and television, including the series "Homeland."
  • 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_69e245f9d5d08190a4a20004e1784e20 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae1dbe188190bc4afe7bfa7cda0f completed April 29, 2026, 7:07 a.m.
Created at: April 17, 2026, 6:10 p.m.