Triple
T33203346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DisplayHDR |
E849961
|
entity |
| Predicate | conventionalTierFocus |
P181181
|
FINISHED |
| Object | LCD and transmissive displays |
—
|
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: LCD and transmissive displays | Statement: [DisplayHDR, conventionalTierFocus, LCD and transmissive displays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conventionalTierFocus Context triple: [DisplayHDR, conventionalTierFocus, LCD and transmissive displays]
-
A.
traditionalTier
Indicates that an entity belongs to, or is categorized within, a conventional or historically established level, class, or rank in a tiered system.
-
B.
firstTier
Indicates that one entity occupies the highest or primary level, rank, or priority relative to others in a hierarchical structure.
-
C.
traditionalFocus
Indicates a focus on preserving, emphasizing, or adhering to long-established customs, practices, or conventions within a given context.
-
D.
traditionalLevel
Indicates the degree to which something adheres to established customs, practices, or traditions.
-
E.
tiered
Indicates that something is organized into multiple hierarchical levels or layers, often with differing degrees of priority, access, or benefit.
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7626667f48190ad90867eb67ec582 |
completed | May 3, 2026, 2:57 p.m. |
| PD | Predicate disambiguation | batch_69f76175d6608190b60b268e20f49ed9 |
completed | May 3, 2026, 2:53 p.m. |
| PDg | Predicate description generation | batch_69f762651e088190baa21f25378a6065 |
completed | May 3, 2026, 2:57 p.m. |
Created at: May 1, 2026, 1:30 a.m.