Triple

T19834894
Position Surface form Disambiguated ID Type / Status
Subject Uzlovaya E476562 entity
Predicate hasNameInLanguage P15 FINISHED
Object Узловая 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: Узловая | Statement: [Uzlovaya, hasNameInLanguage, Узловая]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Узловая
Context triple: [Uzlovaya, hasNameInLanguage, Узловая]
  • A. Uzlovaya chosen
    Uzlovaya is a town in western Russia known as an industrial and railway hub within Tula Oblast.
  • B. Uzel
    Uzel is a small commune in the Côtes-d'Armor department of Brittany in northwestern France.
  • C. Arbory
    Arbory is a rural parish in the south of the Isle of Man, known for its agricultural landscape and traditional Manx village communities.
  • D. Nodus
    Nodus is a design-related company or brand known for collaborating with prominent contemporary designers such as Kiki van Eijk.
  • E. Podberezye
    Podberezye is a small settlement in the Russian Empire (now in modern-day Belarus or Russia) historically known as the birthplace of writer and socialist leader Abraham Cahan.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656d0e738819093000d3307962328 completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.