Triple
T21819550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naikū |
E538687
|
entity |
| Predicate | hasBuildingMaterialTaboo |
P145799
|
FINISHED |
| Object | use of unpainted natural wood |
—
|
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: use of unpainted natural wood | Statement: [Naikū, hasBuildingMaterialTaboo, use of unpainted natural wood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingMaterialTaboo Context triple: [Naikū, hasBuildingMaterialTaboo, use of unpainted natural wood]
-
A.
hasBuildingMaterialReputation
Indicates that an entity is recognized or characterized by a particular reputation regarding building materials, such as their quality, reliability, or suitability for construction.
-
B.
hasBuildingMaterialInHut
Indicates that a hut is constructed using a specified building material.
-
C.
hasArchitecturalMaterial
Indicates that something is constructed from, incorporates, or is characterized by a particular architectural material.
-
D.
isNonCombustible
Indicates that the subject does not burn or support combustion under normal conditions.
-
E.
hasHazardousMaterialsRestrictions
Indicates that there are rules or limitations governing the presence, handling, or transport of hazardous materials in relation to the subject.
- F. None of above. chosen
Provenance (4 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_69e0c475038c8190abb9b1a20eb8ff50 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f07cce0b8081909e20ded72db40304 |
completed | April 28, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
| PDg | Predicate description generation | batch_69e6c670ee608190b9cfdc09de74f0de |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 6:54 p.m.