Triple
T25477755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Russet Burbank potato |
E638477
|
entity |
| Predicate | eyeDepth |
P158588
|
FINISHED |
| Object | shallow eyes |
—
|
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: shallow eyes | Statement: [Russet Burbank potato, eyeDepth, shallow eyes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eyeDepth Context triple: [Russet Burbank potato, eyeDepth, shallow eyes]
-
A.
eyeType
Indicates the specific kind or category of eyes an entity has, such as their form, structure, or visual style.
-
B.
eyeCount
Indicates the number of eyes an entity has.
-
C.
eyeLocation
Indicates the spatial position or placement of an eye relative to a reference object or coordinate system.
-
D.
oculusDiameter
Indicates the diameter measurement of an oculus (a circular opening), relating the opening to the size of its circular span.
-
E.
eyeSeparationMethod
Indicates the method or technique used to separate or distinguish the views for each eye (e.g., in stereoscopic or 3D presentation).
- 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_69e75db9b964819096802dcf502e577e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f772a0248190a52aef4495a5b0a3 |
completed | May 2, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_69f468421ba08190880eac99135e5970 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 2:26 p.m.