Triple
T23129844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yuasa traditional townscape preservation area |
E577136
|
entity |
| Predicate | typicalBuildingFeature |
P5084
|
FINISHED |
| Object | white plaster walls |
—
|
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: white plaster walls | Statement: [Yuasa traditional townscape preservation area, typicalBuildingFeature, white plaster walls]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBuildingFeature Context triple: [Yuasa traditional townscape preservation area, typicalBuildingFeature, white plaster walls]
-
A.
typicalAmenity
Indicates that something is a common or characteristic amenity typically associated with a given entity or context.
-
B.
typicalFeatures
chosen
Indicates that the related entities are characteristic or commonly occurring features or attributes of something.
-
C.
architectureProperty
Indicates that a specified architectural characteristic or feature is attributed to, or associated with, an entity.
-
D.
featuresBuilding
Indicates that one entity includes or incorporates a building as a notable component or characteristic.
-
E.
locatedInBuildingWithFeature
Indicates that something is located in a building that possesses a specified feature or characteristic.
- 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_69e245f7b0e481909c473ff4e6a54e2c |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e8671f48190887e57d5723e49c1 |
completed | April 29, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_69ef89f83b108190aaaa1db6221fc163 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4 p.m.