Triple

T16851182
Position Surface form Disambiguated ID Type / Status
Subject PFO E409678 entity
Predicate containsFederalSubject P22806 FINISHED
Object Perm Krai E240048 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: Perm Krai | Statement: [PFO, containsFederalSubject, Perm Krai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perm Krai
Context triple: [PFO, containsFederalSubject, Perm Krai]
  • A. Perm Krai chosen
    Perm Krai is a federal subject of Russia located on the western slopes of the Ural Mountains, serving as a historical and industrial region that bridges European and Asian Russia.
  • B. Khatai
    Khatai was the poetic pen name of Shah Ismail I, the founder of the Safavid dynasty and an influential Azerbaijani-Turkic poet.
  • C. Nonglard
    Nonglard is a small commune in southeastern France’s Haute-Savoie department, situated within the administrative area of the Annecy arrondissement.
  • D. Bolikhamsai Province
    Bolikhamsai Province is a central region of Laos known for its forested mountains, river valleys, and role as a key transit and hydropower area between the country’s north and south.
  • E. Sasin
    Sasin is a leading graduate business school based in Bangkok, Thailand, known for its MBA and executive education programs.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b379b8fc81908d8bc9950c7f8bad completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb1f02648190937c692af83843dc completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.