Triple

T22551455
Position Surface form Disambiguated ID Type / Status
Subject Udelar E557566 entity
Predicate shortName P43 FINISHED
Object Udelar 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: Udelar | Statement: [Udelar, shortName, Udelar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Udelar
Context triple: [Udelar, shortName, Udelar]
  • A. Udelar chosen
    Udelar is Uruguay’s main public university, renowned for its central role in the country’s higher education, research, and cultural life.
  • B. Udelnaya
    Udelnaya is a residential neighborhood and railway station area in the northern part of Saint Petersburg, Russia.
  • C. 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.
  • D. Dolson
    Dolson is a surname most notably associated with American professional basketball player Stefanie Dolson.
  • E. Dumke
    Dumke is a German-origin surname borne by various notable individuals, including academics and public figures.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7647208190a1aaebd083bf095a completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.