Triple
T34776631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samsung Galaxy Note9 |
E1002524
|
entity |
| Predicate | sPenFeatures |
P181605
|
FINISHED |
| Object | remote control |
—
|
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: remote control | Statement: [Samsung Galaxy Note9, sPenFeatures, remote control]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sPenFeatures Context triple: [Samsung Galaxy Note9, sPenFeatures, remote control]
-
A.
canInk
Indicates that one entity has the capability or function to apply ink to another entity.
-
B.
quillsType
Indicates that one entity has quills of a particular type or classification specified by the other entity.
-
C.
supportsApplePencil
Indicates that one entity is compatible with and can be used in conjunction with an Apple Pencil for input or interaction.
-
D.
featuresCartouchesOf
Indicates that something (such as an artifact, monument, or object) bears or includes cartouches that contain the names or titles of specific individuals or entities.
-
E.
spanFeature
Indicates a relationship where a feature or characteristic extends across or covers a specified span or interval.
- 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_69f76db30a108190bb57ca95b873e5bb |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f77ff804f08190b431a31e6179ace4 |
completed | May 3, 2026, 5:03 p.m. |
Created at: May 3, 2026, 3:59 p.m.