Triple

T13828009
Position Surface form Disambiguated ID Type / Status
Subject Vishera River E332304 entity
Predicate locatedIn P40 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: [Vishera River, locatedIn, Perm Krai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perm Krai
Context triple: [Vishera River, locatedIn, 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. 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.
  • D. Sasin
    Sasin is a leading graduate business school based in Bangkok, Thailand, known for its MBA and executive education programs.
  • E. Isara
    Isara is the Latin name for the Isar River, a major waterway flowing through the Alps and the city of Munich in Germany.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02970df88190a1bf35dffd131d9d completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8ea22c081909cc34f1030a8589b completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.