Triple
T2190193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DisplayPort Alt Mode |
E49842
|
entity |
| Predicate | canOutputTo |
P92
|
FINISHED |
| Object | DisplayPort monitors |
—
|
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: DisplayPort monitors | Statement: [DisplayPort Alt Mode, canOutputTo, DisplayPort monitors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canOutputTo Context triple: [DisplayPort Alt Mode, canOutputTo, DisplayPort monitors]
-
A.
hasOutputType
chosen
Indicates that an entity produces, returns, or yields a result of a specified type.
-
B.
canReport
Indicates that one entity has the ability or permission to report on, or submit a report about, another entity or situation.
-
C.
canUse
Indicates that one entity has the ability, permission, or suitability to make use of another entity or resource.
-
D.
canExpress
Indicates that an entity has the ability or capacity to convey, articulate, or communicate something (such as an idea, emotion, or property).
-
E.
canRepresent
Indicates that one entity is capable of serving as a valid stand-in, proxy, or expression for another entity in a given context.
- 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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda32d1881909d1fd83a751fb21c |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.