Triple
T26878096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tajima beef |
E676808
|
entity |
| Predicate | marblingType |
P91025
|
FINISHED |
| Object | intramuscular fat |
—
|
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: intramuscular fat | Statement: [Tajima beef, marblingType, intramuscular fat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marblingType Context triple: [Tajima beef, marblingType, intramuscular fat]
-
A.
marblingGrade
chosen
Indicates the quality level of intramuscular fat distribution (marbling) associated with a meat product.
-
B.
marbleType
Indicates that one entity is of a specific type or category of marble in relation to another entity.
-
C.
leafMarkings
Indicates the presence, pattern, or characteristics of markings found on the surface of a leaf.
-
D.
glazingPattern
Indicates the arrangement or design pattern of glazing elements (such as panes or glass sections) within a structure or object.
-
E.
meatType
Indicates the specific category or kind of meat associated with an entity.
- 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_69eee9bb44988190b6e11652d028bc59 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61f1a5f9881908a7d4ff6e5f783ca |
completed | May 2, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 5:37 a.m.