Triple
T6854603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Awamori |
E158105
|
entity |
| Predicate | rawMaterialOrigin |
P53073
|
FINISHED |
| Object | rice often imported from Thailand historically |
—
|
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: rice often imported from Thailand historically | Statement: [Awamori, rawMaterialOrigin, rice often imported from Thailand historically]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rawMaterialOrigin Context triple: [Awamori, rawMaterialOrigin, rice often imported from Thailand historically]
-
A.
countryOfOrigin
Indicates the country from which an entity originally comes or was first produced, created, or established.
-
B.
materialSource
chosen
Indicates that one entity serves as the origin or provider of the material or substance used by another entity.
-
C.
speciesOrigin
Indicates the place, environment, or source from which a species originally arose or evolved.
-
D.
hasSourceMaterial
Indicates that something is derived from, based on, or created using a particular source material.
-
E.
denominationOfOrigin
Indicates a legally recognized origin relationship where a product’s quality or characteristics are specifically attributable to being produced in a particular geographic region.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d86d5a54819088537ada9f8d1105 |
completed | March 27, 2026, 7:20 p.m. |
| PD | Predicate disambiguation | batch_69c6d0a12834819097d7e6c0b823745e |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:20 p.m.