Triple

T15381777
Position Surface form Disambiguated ID Type / Status
Subject Budjak E367820 entity
Predicate containsCity P294 FINISHED
Object Tarutyne E1149719 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: Tarutyne | Statement: [Budjak, containsCity, Tarutyne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tarutyne
Context triple: [Budjak, containsCity, Tarutyne]
  • A. Tarutyne chosen
    Tarutyne is an urban-type settlement in Odesa Oblast, southwestern Ukraine, serving as a local administrative and cultural center.
  • B. Tysso
    Tysso is a river in the municipality of Ulvik in western Norway, known for flowing through a scenic fjord landscape.
  • C. Tyurin
    Tyurin is the hard-edged yet pragmatic foreman of Ivan Denisovich’s work gang in Solzhenitsyn’s novel, embodying both the brutality and rough solidarity of the Soviet labor camp system.
  • D. Yetûr
    Yetûr is a transliterated form of the biblical name Jetur, one of the descendants of Ishmael mentioned in the Hebrew Bible.
  • E. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e61928c81908852c355d537ed9c completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b5bc43c81908ffdb7819e3660d9 completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:19 a.m.