Triple
T8272699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | tabbouleh |
E193466
|
entity |
| Predicate | containsGrain |
P32631
|
FINISHED |
| Object | bulgur wheat |
—
|
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: bulgur wheat | Statement: [tabbouleh, containsGrain, bulgur wheat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsGrain Context triple: [tabbouleh, containsGrain, bulgur wheat]
-
A.
hasGrainType
chosen
Indicates that an entity is characterized by or associated with a specific type of grain.
-
B.
grain
Indicates that one entity is composed of or contains a granular substance or small particles of another entity.
-
C.
hasGrainQuality
Indicates that an entity possesses a particular level or type of grain quality, characterizing the quality attributes of its grain.
-
D.
grainColor
Indicates the color attribute associated with a grain or granular material.
-
E.
hasGravy
Indicates that one entity is accompanied by, covered with, or served with gravy in relation to another entity or context.
- 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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb798878988190a5f63c854aa070f2 |
completed | March 31, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69cb70a4525481909399d313a6247ace |
completed | March 31, 2026, 6:58 a.m. |
Created at: March 30, 2026, 5:50 p.m.