Triple

T24006153
Position Surface form Disambiguated ID Type / Status
Subject Buchach E594391 entity
Predicate hasMulticulturalHistory P89769 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: [Buchach, hasMulticulturalHistory, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMulticulturalHistory
Context triple: [Buchach, hasMulticulturalHistory, true]
  • A. hasMulticulturalTradition chosen
    Indicates that an entity possesses customs, practices, or heritage derived from or influenced by multiple cultural backgrounds.
  • B. historicalDiversity
    Indicates that there has been variation or change in the composition, characteristics, or representation of something across different historical periods.
  • C. hasSharedColonialHistory
    Indicates that the related entities were subject to, or part of, the same colonial power or colonial system during a historical period.
  • D. hasColonialHistory
    Indicates that an entity has experienced or participated in a period of colonial rule, control, or administration in relation to another entity.
  • E. isMulticulturalCity
    Indicates that a city is characterized by the presence and interaction of multiple cultural, ethnic, or linguistic communities.
  • 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_69e288b9ecf08190b8c94a278f5674fe completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d4693a8c8190af2960c5832093f1 completed April 29, 2026, 9:50 a.m.
PD Predicate disambiguation batch_69f17639d23c8190bed93434e2f9230a completed April 29, 2026, 3:08 a.m.
Created at: April 17, 2026, 9:40 p.m.