Triple

T16645203
Position Surface form Disambiguated ID Type / Status
Subject Iranian Zoroastrians E404448 entity
Predicate populationCenter P2106 FINISHED
Object Kerman 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: Kerman | Statement: [Iranian Zoroastrians, populationCenter, Kerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerman
Context triple: [Iranian Zoroastrians, populationCenter, Kerman]
  • A. Kerman
    Kerman is the surname of Piper Kerman, the American author whose memoir inspired the television series "Orange Is the New Black."
  • B. Kerman
    Kerman is a small city in California’s San Joaquin Valley, known for its agricultural economy and location west of Fresno.
  • C. Kerman chosen
    Kerman is a major city in southeastern Iran known for its rich history, traditional bazaars, and proximity to desert landscapes.
  • D. Birjand
    Birjand is a city in eastern Iran that serves as the capital of South Khorasan Province and is known for its historical forts and saffron production.
  • E. Bojnurd
    Bojnurd is a city in northeastern Iran that serves as the capital of North Khorasan Province.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad4735c81908a3a227bf02ca489 completed April 18, 2026, 12:36 p.m.
Created at: April 10, 2026, 5:18 a.m.