Triple

T28750899
Position Surface form Disambiguated ID Type / Status
Subject Svaliava E731522 entity
Predicate languageUsed P238 FINISHED
Object Ukrainian E73023 NE FINISHED

How this triple was built (1 step)

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: Ukrainian | Statement: [Svaliava, languageUsed, Ukrainian]

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_69f043ed68a881909e858a06bab7a247 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f657bd25b88190bdded04512eddaef completed May 2, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf727cb0819098c5a8d9b2db3ea7 completed June 1, 2026, 12:16 a.m.
Created at: April 28, 2026, 6:07 a.m.