Triple

T35960400
Position Surface form Disambiguated ID Type / Status
Subject Bystra-Sidzina E1039978 entity
Predicate hasTraditionalHighlandCharacter P176267 FINISHED
Object true 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: true | Statement: [Bystra-Sidzina, hasTraditionalHighlandCharacter, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTraditionalHighlandCharacter
Context triple: [Bystra-Sidzina, hasTraditionalHighlandCharacter, true]
  • A. hasTraditionalHighlandCulture chosen
    Indicates that an entity possesses or is characterized by the traditional cultural practices, customs, and ways of life associated with highland or mountainous regions.
  • B. hasTraditionalCharm
    Indicates that something possesses a classic, old-fashioned, or culturally rooted appeal that evokes nostalgia or heritage.
  • C. hasTraditionIn
    Indicates that a particular tradition, custom, or longstanding practice is present, observed, or established within a specified place, group, or context.
  • D. hasTraditionalGaelicCulture
    Indicates that an entity possesses or maintains cultural practices, traditions, and heritage associated with traditional Gaelic culture.
  • E. hasCelticName
    Indicates that an entity possesses a name that is of Celtic origin or in a Celtic language.
  • 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_69f76e26b21081909fd9ffb3aff6c77a completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69ffcb5536d88190bfc2e00b854cacfb completed May 10, 2026, 12:03 a.m.
PD Predicate disambiguation batch_69ffc900c2a081909dea04aa60566923 completed May 9, 2026, 11:53 p.m.
Created at: May 3, 2026, 4:07 p.m.