Triple

T21665668
Position Surface form Disambiguated ID Type / Status
Subject Aimaq people E534708 entity
Predicate ethnonym P4709 FINISHED
Object 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: Aimaq | Statement: [Aimaq people, ethnonym, Aimaq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aimaq
Context triple: [Aimaq people, ethnonym, Aimaq]
  • A. Akhulgo
    Akhulgo was a heavily fortified mountain stronghold in Dagestan that served as Imam Shamil’s key base during the Murid War against the Russian Empire.
  • B. Orakzais
    The Orakzais are a Pashtun tribal group primarily inhabiting the Orakzai District and surrounding Tirah Valley region in northwestern Pakistan.
  • C. Raqchi
    Raqchi is a significant Inca archaeological complex in Peru, known for its monumental Temple of Wiracocha and extensive ceremonial and residential structures.
  • D. Firozkohi Aimaqs chosen
    Firozkohi Aimaqs are a Persian-speaking semi-nomadic ethnic group primarily inhabiting western and northwestern Afghanistan.
  • E. Ishkoman
    Ishkoman is a remote valley settlement in the Ghizer District of Gilgit-Baltistan, Pakistan, known for its rugged mountainous terrain and traditional highland communities.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0b26c8819092c13e59dcc3c25c completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.