Triple

T16653244
Position Surface form Disambiguated ID Type / Status
Subject Kastamonu Province E404659 entity
Predicate hasTraditionalHouseArchitecture P108429 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: [Kastamonu Province, hasTraditionalHouseArchitecture, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTraditionalHouseArchitecture
Context triple: [Kastamonu Province, hasTraditionalHouseArchitecture, true]
  • A. hasTraditionalHouseStyle chosen
    Indicates that an entity possesses or is characterized by a traditional style of house or residential architecture.
  • B. traditionallyHouses
    Indicates that one entity has historically or customarily served as the location or container for another entity.
  • C. hasColonialArchitecture
    Indicates that something features or exhibits architectural characteristics associated with colonial-era design or construction.
  • D. traditionallyBuiltOver
    Indicates that one entity has been constructed on top of another in a manner consistent with long-established or customary building practices.
  • E. traditionalHomeOf
    Indicates that a place is historically or customarily regarded as the primary homeland or origin location of a particular group or culture.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bf861348190b2b0b5574d4ddb4f completed April 18, 2026, 12:41 p.m.
PD Predicate disambiguation batch_69e319b1d7f08190b5ecb4a68c636c15 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:18 a.m.