Triple
T2796397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pro Display XDR |
E53046
|
entity |
| Predicate | panelTechnology |
P1482
|
FINISHED |
| Object | IPS |
—
|
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: IPS | Statement: [Pro Display XDR, panelTechnology, IPS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: panelTechnology Context triple: [Pro Display XDR, panelTechnology, IPS]
-
A.
usesBacklightTechnology
Indicates that one entity employs backlight technology to illuminate or enhance the visibility of another entity or its display.
-
B.
displays
Indicates that one entity visually presents or shows another entity’s content or information.
-
C.
mirrorTechnology
Indicates a relationship where one technology closely reflects, imitates, or duplicates the functionality or design of another.
-
D.
technologyType
chosen
Indicates the specific kind or category of technology associated with an entity or relationship.
-
E.
offeredTechnology
Indicates that one entity has provided or proposed a specific technology to another entity as an option for use, adoption, or consideration.
- 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.