Triple
T13528071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arita and Imari ceramics region |
E323061
|
entity |
| Predicate | hasTraditionalTechnique |
P3047
|
FINISHED |
| Object | kiln firing |
—
|
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: kiln firing | Statement: [Arita and Imari ceramics region, hasTraditionalTechnique, kiln firing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalTechnique Context triple: [Arita and Imari ceramics region, hasTraditionalTechnique, kiln firing]
-
A.
hasTechnique
chosen
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
-
B.
hasTraditionalFormIn
Indicates that something possesses a customary or historically established form or representation within a specified context, system, or location.
-
C.
isTraditional
Indicates that something adheres to long-established customs, practices, or norms rather than modern or innovative ones.
-
D.
hasTraditionalSymbol
Indicates that something is associated with or represented by a conventional or culturally established symbol.
-
E.
hasTraditionalBase
Indicates that something is supported by, built upon, or derived from an established traditional foundation or practice.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafb8e0cc8190b47f6aeb8ced470e |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.