Triple
T27746407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surface 3 |
E701994
|
entity |
| Predicate | digitizerSupport |
P138306
|
FINISHED |
| Object | Surface Pen |
—
|
NE NERFINISHED |
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: Surface Pen | Statement: [Surface 3, digitizerSupport, Surface Pen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: digitizerSupport Context triple: [Surface 3, digitizerSupport, Surface Pen]
-
A.
supportsApplePencil
chosen
Indicates that one entity is compatible with and can be used in conjunction with an Apple Pencil for input or interaction.
-
B.
supportsPlotDevice
Indicates that one entity provides narrative justification, reinforcement, or facilitation for the use or effectiveness of a particular plot device in a story.
-
C.
hasLightPenSupport
Indicates that an entity supports or is compatible with a light pen input device.
-
D.
hasDigitalSystem
Indicates that an entity possesses, uses, or is equipped with a digital system (such as software, hardware, or an integrated digital platform).
-
E.
supportsDriveFormFactor
Indicates that one entity is compatible with or can accommodate a specified physical form factor of a drive.
- 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6371a823c8190a75f3702c45bb41f |
completed | May 2, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69f63188e7408190af8ce8b93d128c63 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 4:16 p.m.