Triple

T10229700
Position Surface form Disambiguated ID Type / Status
Subject Kronoberg County E243306 entity
Predicate coversPartsOf P52847 FINISHED
Object historical province of Småland 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: historical province of Småland | Statement: [Kronoberg County, coversPartsOf, historical province of Småland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coversPartsOf
Context triple: [Kronoberg County, coversPartsOf, historical province of Småland]
  • A. hasPartIn
    Indicates that an entity participates in or plays a role within a larger event, process, or composite entity.
  • B. consideredPartOf chosen
    Indicates that one entity is regarded or treated as a component, segment, or subset of another entity within a larger whole.
  • C. isOnlyPartOf
    Indicates that an entity is a component exclusively of a specific whole and not of any other whole.
  • D. servesPartOf
    Indicates that one entity functions as a service or provider that operates within, or as a component of, another larger system or context.
  • E. containsPortionOf
    Indicates that one entity includes or holds a part, segment, or fraction of another entity.
  • F. None of above.

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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23b620c8190b8a72d0eb0d16b93 completed April 7, 2026, 9:45 a.m.
PD Predicate disambiguation batch_69d4d1e9798c8190b437d53d48554ba1 completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:19 a.m.