Triple

T6514612
Position Surface form Disambiguated ID Type / Status
Subject Ordzhonikidze E148221 entity
Predicate predecessorName P11166 FINISHED
Object Dzaudzhikau E603719 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: Dzaudzhikau | Statement: [Ordzhonikidze, predecessorName, Dzaudzhikau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dzaudzhikau
Context triple: [Ordzhonikidze, predecessorName, Dzaudzhikau]
  • A. Dzaudzhikau chosen
    Dzaudzhikau is the former name of Vladikavkaz, a major city in Russia’s North Caucasus and the capital of the Republic of North Ossetia–Alania.
  • B. Kuzminki
    Kuzminki is a Moscow Metro station on the Tagansko–Krasnopresnenskaya Line serving the Kuzminki District in southeastern Moscow.
  • C. Zolotonosha
    Zolotonosha is a historic town in central Ukraine, located in the Cherkasy region on the banks of the Zolotonoshka River.
  • D. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • E. Iwaniska
    Iwaniska is a village and the seat of a rural administrative district in south-central Poland’s Świętokrzyskie Voivodeship.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac0bea808190aebc2905fb53eeba completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e40ffb7081908f4dd4679bdefd85 completed March 27, 2026, 8:09 p.m.
Created at: March 27, 2026, 1:44 p.m.