Triple

T15623552
Position Surface form Disambiguated ID Type / Status
Subject Hassan E375623 entity
Predicate ethnicity P194 FINISHED
Object Hazara E22784 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: Hazara | Statement: [Hassan, ethnicity, Hazara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hazara
Context triple: [Hassan, ethnicity, Hazara]
  • A. Hazara
    Hazara is a mountainous region in northern Pakistan, known for its diverse ethnic communities, strategic location near the Himalayas, and historical significance under various empires and states.
  • B. Hazar
    Hazar is a city in Turkmenistan’s Balkan Region, known primarily for its location on the Caspian Sea and its role in the country’s oil and gas industry.
  • C. Hazaras chosen
    Hazaras are an ethnic group primarily from central Afghanistan, distinguished by their Mongol-influenced ancestry, Shia Muslim majority, and use of Persian (Hazaragi) as their main language.
  • D. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • E. Afridis
    The Afridis are a prominent Pashtun tribal group primarily inhabiting the mountainous regions of present-day Khyber Pakhtunkhwa in Pakistan, historically known for their fierce independence and strategic control of key passes.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e9cfd94819091459aa17a002eaf completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff678a9fac81908030726054ff5a99 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:14 a.m.