Triple

T4436573
Position Surface form Disambiguated ID Type / Status
Subject Skvyra E95664 entity
Predicate nameInRussian P20560 FINISHED
Object Сквира E440206 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: Сквира | Statement: [Skvyra, nameInRussian, Сквира]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Сквира
Context triple: [Skvyra, nameInRussian, Сквира]
  • A. Сквира chosen
    Сквира — це невелике місто в Київській області України, відоме як районний центр із переважно сільськогосподарським оточенням та історичною єврейською спадщиною.
  • B. Tealing
    Tealing is a small rural village in eastern Scotland, situated in the Angus council area just north of Dundee.
  • C. Dolgan
    Dolgan is a Turkic language spoken primarily by the Dolgan people in northern Siberia, especially in Russia’s Taymyr Peninsula.
  • D. Southesk
    Southesk is the traditional war cry associated with Clan Carnegie, a Scottish noble family from Angus.
  • E. Olesko
    Olesko is a historic town in western Ukraine best known for its medieval castle, which served as the birthplace of Polish King John III Sobieski.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3558b1d4481909060ede5e0ded4bc completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6281264f08190942d2043495c89d5 completed March 15, 2026, 3:31 a.m.
Created at: March 12, 2026, 11:31 p.m.