Triple
T14997246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miyazaki beef |
E373988
|
entity |
| Predicate | requiresLabeling |
P45202
|
FINISHED |
| Object | geographical indication or regional branding in Japan |
—
|
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: geographical indication or regional branding in Japan | Statement: [Miyazaki beef, requiresLabeling, geographical indication or regional branding in Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresLabeling Context triple: [Miyazaki beef, requiresLabeling, geographical indication or regional branding in Japan]
-
A.
warningLabelRequired
Indicates that an item, product, or situation must display a warning label to alert users to potential risks or hazards.
-
B.
usedInLabeling
chosen
Indicates that something is employed or applied as part of a labeling process or activity.
-
C.
hasLabel
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
D.
inspectionRequired
Indicates that an entity must undergo an inspection before it can proceed, be used, or be approved.
-
E.
requiredBy
Indicates that one entity depends on or cannot function properly without another entity being present, completed, or satisfied.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded718e4288190b5e144f82299a194 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:54 a.m.