Triple

T35971097
Position Surface form Disambiguated ID Type / Status
Subject Изборская крепость E1040285 entity
Predicate использованиеПослеУтратыЗначения P184297 FINISHED
Object местное административное и жилое поселение LITERAL 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: местное административное и жилое поселение | Statement: [Изборская крепость, использованиеПослеУтратыЗначения, местное административное и жилое поселение]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: использованиеПослеУтратыЗначения
Context triple: [Изборская крепость, использованиеПослеУтратыЗначения, местное административное и жилое поселение]
  • A. subsequentUse
    Indicates that one entity is used, applied, or consumed after another entity in time or sequence.
  • B. используетсяС
    Indicates that something is used together with or by means of another entity.
  • C. ceasedToBeUsed
    Indicates that something that was previously in use has stopped being used from a certain point in time onward.
  • D. usedAt
    Indicates that something is employed, applied, or utilized at a particular place, time, or context.
  • E. usedVia
    Indicates that an entity performs or achieves something by means of, or through the use of, another entity or mechanism.
  • F. None of above. chosen

Provenance (4 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_69f76e27758c81909b711cf38a130aaf completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7ad15f3b88190b7c9742a734fec5f completed May 3, 2026, 8:16 p.m.
PD Predicate disambiguation batch_69f7ab75387c819091afc3c2128eb903 completed May 3, 2026, 8:09 p.m.
PDg Predicate description generation batch_69f7acad20388190b9b10270ca9bdfbc completed May 3, 2026, 8:14 p.m.
Created at: May 3, 2026, 4:07 p.m.