Triple

T17253097
Position Surface form Disambiguated ID Type / Status
Subject Baha al-Dawla E418806 entity
Predicate ruledRegion P15936 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: [Baha al-Dawla, ruledRegion, Kerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerman
Context triple: [Baha al-Dawla, ruledRegion, Kerman]
  • A. Kerman chosen
    Kerman is a major city in southeastern Iran known for its rich history, traditional bazaars, and proximity to desert landscapes.
  • 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
    Kerman is the surname of Piper Kerman, the American author whose memoir inspired the television series "Orange Is the New Black."
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6a1b648190a8bb2deb67bbdfdc completed April 19, 2026, 1:22 a.m.
Created at: April 10, 2026, 5:39 a.m.