Triple
T31576009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ompok pabda |
E805697
|
entity |
| Predicate | fleshQuality |
P31718
|
FINISHED |
| Object | highly palatable |
—
|
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: highly palatable | Statement: [Ompok pabda, fleshQuality, highly palatable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fleshQuality Context triple: [Ompok pabda, fleshQuality, highly palatable]
-
A.
meatQuality
chosen
Indicates the assessed level or characteristics of quality associated with a given piece or type of meat.
-
B.
fleshCharacteristic
Indicates that one entity has a particular property, quality, or attribute of its flesh (such as texture, color, or condition) in relation to another entity or value.
-
C.
meatType
Indicates the specific category or kind of meat associated with an entity.
-
D.
fleshTexture
Indicates the tactile quality or surface feel of an entity’s flesh, such as how smooth, firm, soft, or coarse it is.
-
E.
fleshColor
Indicates the color or hue of an entity’s flesh or skin.
- 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_69f348d3a86c8190a3e5e539a4dd125f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a8055f8081908f635fe04654b5fe |
completed | May 3, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69f6a75656e081908739ed9e2f600e42 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:21 p.m.