Triple
T2796427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pro Display XDR |
E53046
|
entity |
| Predicate | compatibleMount |
P34295
|
FINISHED |
| Object | VESA Mount Adapter |
—
|
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: VESA Mount Adapter | Statement: [Pro Display XDR, compatibleMount, VESA Mount Adapter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compatibleMount Context triple: [Pro Display XDR, compatibleMount, VESA Mount Adapter]
-
A.
mountType
Indicates the manner or configuration in which one object is mounted or attached to another.
-
B.
compatibleSign
Indicates that two entities are considered astrologically harmonious or well-matched based on their zodiac signs.
-
C.
mountingLocation
Indicates the physical position or surface on which something is attached, fixed, or installed.
-
D.
mountOption
Indicates that a particular configuration option is applied when mounting a filesystem, device, or resource.
-
E.
hasMountingFeature
chosen
Indicates that one entity includes or provides a structural feature intended for mounting or attaching another entity.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddef754081908e6218dc2208e0fd |
completed | March 7, 2026, 8:12 a.m. |
| PD | Predicate disambiguation | batch_69abdd040f9481908e9c7a2df88ea1ae |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:58 p.m.