Triple
T12047570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 12 Pro |
E286823
|
entity |
| Predicate | supportsUltraWideband |
P102943
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [iPhone 12 Pro, supportsUltraWideband, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsUltraWideband Context triple: [iPhone 12 Pro, supportsUltraWideband, true]
-
A.
hasUltraWideCamera
Indicates that an entity is equipped with or includes an ultra-wide camera as one of its features.
-
B.
supportsSubbands
Indicates that one entity provides or is compatible with multiple subbands within a broader frequency or spectral band.
-
C.
isUltra
Indicates that an entity possesses an extreme, superior, or beyond-standard degree of a particular quality, status, or capability.
-
D.
supportsSingleFrequencyNetworks
Indicates that an entity enables or is compatible with operating in single frequency networks, where multiple transmitters use the same frequency to provide coordinated coverage.
-
E.
supportsWiFiStandard
Indicates that one entity is compatible with and able to operate using a specified Wi-Fi communication standard defined by another entity.
- 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.