Triple
T12047412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPad Air (4th generation) |
E286821
|
entity |
| Predicate | trueTone |
P102937
|
FINISHED |
| Object | supported |
—
|
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: supported | Statement: [iPad Air (4th generation), trueTone, supported]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trueTone Context triple: [iPad Air (4th generation), trueTone, supported]
-
A.
tonalDesign
Indicates the relationship in which one entity defines, specifies, or embodies the tonal structure or tonal scheme used by another entity (such as a work, passage, or system).
-
B.
cereColor
Indicates that one entity specifies or denotes the color of another entity’s cere (the fleshy area above a bird’s beak).
-
C.
blueShade
Indicates that one entity has a color that is a specific shade or variation of blue.
-
D.
colorTreatment
Indicates that an entity has undergone a process or action that changes, enhances, or assigns its color.
-
E.
crestColor
Indicates the color characteristic of an entity’s crest.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bac9e08190aa1a99c835f29542 |
completed | April 10, 2026, 2:01 p.m. |
| PDg | Predicate description generation | batch_69d91006e14081909838412df082f794 |
completed | April 10, 2026, 2:58 p.m. |
Created at: April 8, 2026, 9:47 p.m.