Triple
T37480137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rec. BT.2020 |
E931390
|
entity |
| Predicate | definesResolution |
P33931
|
FINISHED |
| Object | 3840×2160 |
—
|
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: 3840×2160 | Statement: [Rec. BT.2020, definesResolution, 3840×2160]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesResolution Context triple: [Rec. BT.2020, definesResolution, 3840×2160]
-
A.
resolutionOf
Indicates that one entity is the formal decision, outcome, or solution produced in response to, or for the purpose of addressing, another entity such as an issue, proposal, or problem.
-
B.
describesResolution
Indicates that one entity specifies or provides details about the resolution or level of detail of another entity.
-
C.
resolutionDeterminedBy
Indicates that the outcome or level of resolution of one entity is decided, defined, or constrained by another entity.
-
D.
resolutionClass
Indicates the category or type of resolution applied to address or conclude a particular issue, conflict, or process.
-
E.
hasResolution
chosen
Indicates that one entity possesses, specifies, or is associated with a particular level or type of resolution (such as detail, clarity, or granularity) in relation to 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fefa064ab48190925759950d0d94d9 |
completed | May 9, 2026, 9:10 a.m. |
| PD | Predicate disambiguation | batch_69fef96ae5d08190b027435753c44821 |
completed | May 9, 2026, 9:07 a.m. |
Created at: May 3, 2026, 4:17 p.m.