Triple
T16840764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | black crappie |
E409401
|
entity |
| Predicate | fleshDescription |
P93326
|
FINISHED |
| Object | white flaky meat |
—
|
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: white flaky meat | Statement: [black crappie, fleshDescription, white flaky meat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fleshDescription Context triple: [black crappie, fleshDescription, white flaky meat]
-
A.
fleshCharacteristic
chosen
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.
-
B.
fleshTexture
Indicates the tactile quality or surface feel of an entity’s flesh, such as how smooth, firm, soft, or coarse it is.
-
C.
fleshColor
Indicates the color or hue of an entity’s flesh or skin.
-
D.
hasFleshColor
Indicates that an entity possesses a particular color or characteristic of its flesh or internal tissue.
-
E.
bodyContour
Indicates the shape or outline of a body as defined by its external curves and boundaries.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b3508ecc81909c0af299e07f4b31 |
completed | April 18, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.