Triple

T2438403
Position Surface form Disambiguated ID Type / Status
Subject Kama River E53216 entity
Predicate flowsThrough P225 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: [Kama River, flowsThrough, Perm Krai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perm Krai
Context triple: [Kama River, flowsThrough, 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. Chonburi Province
    Chonburi Province is a coastal region in eastern Thailand known for its major tourist destinations, industrial zones, and proximity to Bangkok.
  • C. Kuala Krai
    Kuala Krai is a town and district capital in the interior of Kelantan, Malaysia, known as a regional administrative and commercial center along the Kelantan River.
  • D. Tasiwit
    Tasiwit is an alternative name for Siwi, a Berber language spoken in Egypt’s Siwa Oasis.
  • E. Karenni State
    Karenni State is a conflict-affected, ethnically Karenni region in eastern Myanmar known for long-running civil unrest, displacement, and a strong movement for ethnic autonomy.
  • 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_69ab495b6dac8190ac82661aa1452222 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9f4d2dc8190b3c264a6c20d1bd5 completed March 7, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69aef0ad31b8819084813b65b46bc9fc completed March 9, 2026, 4:09 p.m.
Created at: March 6, 2026, 9:43 p.m.