Triple

T18714406
Position Surface form Disambiguated ID Type / Status
Subject Терек E457597 entity
Predicate sourceMountainRange P15500 FINISHED
Object Кавказские горы 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: Кавказские горы | Statement: [Терек, sourceMountainRange, Кавказские горы]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Кавказские горы
Context triple: [Терек, sourceMountainRange, Кавказские горы]
  • A. Montes Caucasus
    Montes Caucasus is a rugged lunar mountain range located along the northeastern edge of Mare Imbrium on the Moon.
  • B. Leninskiye Gory
    Leninskiye Gory is the former name of the Moscow district and hill area now known as Vorobyovy Gory, a prominent landmark overlooking the Moskva River.
  • C. Crimean Mountains
    The Crimean Mountains are a rugged mountain range in the Crimean Peninsula known for their dramatic limestone cliffs, forested slopes, and highest peak at Roman-Kosh.
  • D. Caucasus chosen
    The Caucasus is a strategically vital mountainous region between the Black and Caspian Seas, historically contested by empires and known as a major crossroads of Europe and Asia.
  • E. Ural Mountains
    The Ural Mountains are a long mountain range in western Russia that traditionally marks the natural boundary between Europe and Asia.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56ab4ee6881908f19558937cbb078 completed April 19, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:50 a.m.