Triple
T2040307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nexus |
E44727
|
entity |
| Predicate | displayCapabilities |
P35979
|
FINISHED |
| Object | text |
—
|
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: text | Statement: [Nexus, displayCapabilities, text]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: displayCapabilities Context triple: [Nexus, displayCapabilities, text]
-
A.
availableDisplaySizes
Indicates the set of display size options that can be provided or used for a given entity.
-
B.
deviceIndicates
Indicates that a device provides a signal, status, or output that conveys information about a condition, event, or state.
-
C.
displayResolution
Indicates the relationship specifying the width and height dimensions at which visual content is rendered or shown on a display.
-
D.
displayMode
Indicates how content or information is visually presented or arranged to the user.
-
E.
contrastCapability
Indicates a relationship where one entity’s capabilities are compared or set in opposition to another’s, highlighting differences in what they can do or achieve.
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abbc2b07d48190ba9d67353167b472 |
completed | March 7, 2026, 5:48 a.m. |
Created at: March 4, 2026, 7:39 p.m.