Triple
T28499630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dai cuisine |
E721197
|
entity |
| Predicate | usesWrappingMaterial |
P1272
|
FINISHED |
| Object | banana leaves |
—
|
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: banana leaves | Statement: [Dai cuisine, usesWrappingMaterial, banana leaves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesWrappingMaterial Context triple: [Dai cuisine, usesWrappingMaterial, banana leaves]
-
A.
warpMaterial
Indicates that one entity alters or distorts the physical properties or structure of another material.
-
B.
usesSupportMaterial
Indicates that an entity relies on or incorporates additional supporting materials or resources to carry out an action or fulfill a function.
-
C.
usesMaterialBy
Indicates that one entity makes use of or employs a material that is provided, specified, or created by another entity.
-
D.
hasLiningMaterial
Indicates that one entity uses or contains another entity as the material forming its inner lining.
-
E.
materialUsed
chosen
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
- 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_69f01a5afdac8190ac6e72d5c100bd58 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64f4276ec8190bf2c204c3fcdfd38 |
completed | May 2, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:06 a.m.