Triple
T22441232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | water-boiled beef |
E554758
|
entity |
| Predicate | textureOfBeef |
P148211
|
FINISHED |
| Object | tender |
—
|
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: tender | Statement: [water-boiled beef, textureOfBeef, tender]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textureOfBeef Context triple: [water-boiled beef, textureOfBeef, tender]
-
A.
meatType
Indicates the specific category or kind of meat associated with an entity.
-
B.
typicalMeat
Indicates that something is commonly or characteristically used or regarded as meat in a given context.
-
C.
meatQuality
Indicates the assessed level or characteristics of quality associated with a given piece or type of meat.
-
D.
commonMeatCut
Indicates that two items are the same or equivalent cut of meat, or that an item belongs to a standard, commonly recognized meat cut category.
-
E.
brothTexture
Indicates the perceived consistency or mouthfeel quality of a broth in a dish.
- F. None of above. chosen
Provenance (4 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae1f82881908a611f134eb03f3d |
completed | April 29, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:47 p.m.