Triple

T1019155
Position Surface form Disambiguated ID Type / Status
Subject Batak E22000 entity
Predicate traditionalArchitectureFeature P6684 FINISHED
Object stilt houses 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: stilt houses | Statement: [Batak, traditionalArchitectureFeature, stilt houses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalArchitectureFeature
Context triple: [Batak, traditionalArchitectureFeature, stilt houses]
  • A. hasArchitecturalFeature chosen
    Indicates that one entity possesses, includes, or is characterized by a specific architectural feature or element.
  • B. architecturalConcept
    Indicates that one entity represents or embodies an architectural concept in relation to another entity.
  • C. architecturalStyle
    Indicates the architectural design tradition, movement, or style that characterizes the form and appearance of a structure or built work.
  • D. architecturalWork
    Indicates that one entity is an architectural creation (such as a building or structure) designed or realized by another entity.
  • E. architectureType
    Indicates the specific style or category of architecture that characterizes or defines an 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_69a493d6e380819097b384986ffc315c completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7c6005081909d9e56114c532d14 completed March 1, 2026, 10:03 p.m.
PD Predicate disambiguation batch_69a4b7238d4c8190b22d6c2ac0ac4911 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:41 p.m.