Triple
T21741603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 12.9‑inch iPad Pro (1st generation) |
E536671
|
entity |
| Predicate | depthMM |
P3822
|
FINISHED |
| Object | 6.9 |
—
|
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: 6.9 | Statement: [12.9‑inch iPad Pro (1st generation), depthMM, 6.9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depthMM Context triple: [12.9‑inch iPad Pro (1st generation), depthMM, 6.9]
-
A.
depthMetresApprox
Indicates an approximate measurement of how deep something is in metres, rather than an exact value.
-
B.
depth
chosen
Indicates the vertical distance from a reference surface or top point down to a lower point or bottom within a medium or space.
-
C.
depthFeetApprox
Indicates an approximate measurement of an entity’s depth expressed in feet.
-
D.
heightMillimeters
Indicates the vertical size or elevation of an entity measured in millimeters.
-
E.
mouldedDepth
Indicates the depth dimension that has been formed or shaped into an object during a moulding process.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a7250d48190aa63f89db017ef70 |
completed | April 28, 2026, 2:24 a.m. |
| PD | Predicate disambiguation | batch_69e6969c16fc8190b5126c169317d85d |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:49 p.m.