Triple
T19451419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 7 |
E486620
|
entity |
| Predicate | supportsLightningEarPods |
P135954
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [iPhone 7, supportsLightningEarPods, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLightningEarPods Context triple: [iPhone 7, supportsLightningEarPods, yes]
-
A.
supportsThunderbolt
Indicates that one entity provides compatibility with or the capability to use Thunderbolt technology for another entity.
-
B.
supportsWirelessCharging
Indicates that one entity provides the capability for another entity to be charged without a physical wired connection, typically via inductive or similar wireless power transfer methods.
-
C.
supportsPowerDelivery
Indicates that one entity is capable of providing electrical power to another entity through a compatible interface or connection.
-
D.
supportsMagSafeAccessories
Indicates that one entity is compatible with and can properly connect to or work with MagSafe accessories designed for another entity.
-
E.
canBeAirDropped
Indicates that an item or entity is suitable to be delivered or deployed by being dropped from an aircraft.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338db7c081908793f23592ebef6b |
completed | April 20, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7499a4819082bec0be8afba35c |
completed | April 19, 2026, 4:06 p.m. |
| PDg | Predicate description generation | batch_69e5004c23308190a087b7941a90725f |
completed | April 19, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:38 p.m.