Triple
T31819340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DCUI |
E812218
|
entity |
| Predicate | accessibleWhen |
P180066
|
FINISHED |
| Object | host has attached monitor and keyboard |
—
|
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: host has attached monitor and keyboard | Statement: [DCUI, accessibleWhen, host has attached monitor and keyboard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessibleWhen Context triple: [DCUI, accessibleWhen, host has attached monitor and keyboard]
-
A.
accessibleOn
Indicates that one entity can be reached, used, or obtained through another entity (such as a platform, device, or medium).
-
B.
accessibleFrom
Indicates that one entity can be reached, entered, or used starting from another entity, typically without obstruction.
-
C.
accessibleAs
Indicates that one entity can be reached, used, or obtained through another entity, often as an alternative form, route, or representation.
-
D.
accessibleWithin
Indicates that one entity can be reached, used, or entered from within the spatial or contextual bounds of another entity.
-
E.
accessible
Indicates that one entity can be reached, entered, used, or understood by another entity, often without undue difficulty or barriers.
- 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_69f348e97fa48190aa06286962af6dee |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
| PDg | Predicate description generation | batch_69f730890a008190a882f7828f1c9162 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 30, 2026, 11:45 p.m.