Triple

T1124983
Position Surface form Disambiguated ID Type / Status
Subject Persians E24698 entity
Predicate historicalHomeland P2102 FINISHED
Object Fars Province E134049 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: Fars Province | Statement: [Persians, historicalHomeland, Fars Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fars Province
Context triple: [Persians, historicalHomeland, Fars Province]
  • A. Tehran Province
    Tehran Province is an administrative region in north-central Iran that includes the nation’s capital, Tehran, and serves as a major political, economic, and cultural hub.
  • B. Fars chosen
    Fars is a historic province in southwestern Iran regarded as the cultural heartland of the Persian people and the birthplace of the Persian language.
  • C. Daykundi Province
    Daykundi Province is a central Afghan province known for its predominantly Hazara population and mountainous terrain.
  • D. Qom
    Qom is a major Iranian city renowned as a leading center of Shia Islamic scholarship, pilgrimage, and religious authority.
  • E. Kerman
    Kerman is a small city in California’s San Joaquin Valley, known for its agricultural economy and location west of Fresno.
  • 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_69a4940712c88190aa244f3fc6070a65 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bf0ecd448190affb5c24c3520732 completed March 1, 2026, 10:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac8a010c10819081994835ae7a809a completed March 7, 2026, 8:26 p.m.
Created at: March 1, 2026, 7:44 p.m.