Triple
T32425155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese Black |
E828556
|
entity |
| Predicate | hasMarblingScorePotential |
P115017
|
FINISHED |
| Object | very high |
—
|
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: very high | Statement: [Japanese Black, hasMarblingScorePotential, very high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarblingScorePotential Context triple: [Japanese Black, hasMarblingScorePotential, very high]
-
A.
marblingGrade
Indicates the quality level of intramuscular fat distribution (marbling) associated with a meat product.
-
B.
hasFieldMarkingsFor
Indicates that one entity includes or displays field markings that are intended or suitable for use by another entity.
-
C.
hasPigment
Indicates that one entity contains, incorporates, or is characterized by a particular pigment.
-
D.
hasMarbleDecoration
Indicates that one entity features or is adorned with marble as a decorative element in relation to another entity.
-
E.
hasScoreCharacteristic
chosen
Indicates that one entity possesses or is associated with a particular scoring-related characteristic or property.
- 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_69f3491b28bc8190b75cea7a507f337b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a008d6085508190a71c52cd028a6297 |
completed | May 10, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_6a008ced31448190b8fc60bf87b40647 |
completed | May 10, 2026, 1:49 p.m. |
Created at: May 1, 2026, 12:54 a.m.