Triple
T31992305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DjVu |
E816903
|
entity |
| Predicate | viewersAvailableOn |
P173096
|
FINISHED |
| Object | Windows |
—
|
NE NERFINISHED |
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: Windows | Statement: [DjVu, viewersAvailableOn, Windows]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewersAvailableOn Context triple: [DjVu, viewersAvailableOn, Windows]
-
A.
viewershipNote
Indicates a note or annotation providing additional information or context about the viewership of something.
-
B.
USViewers
Indicates the number or set of viewers located in the United States who watched or were exposed to a particular piece of content or event.
-
C.
availableOnlineAt
Indicates that something can be accessed or obtained via a specified online source or location.
-
D.
hasStreamingAvailability
Indicates that a media item is available to be streamed through a particular streaming service or platform.
-
E.
premieredOn
Indicates that an event, work, or production had its first public showing or debut on a specified date or at a specified time.
- 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_69f348f8002081909a3588758ba94afb |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b3badf8481909377856a516a982b |
completed | May 3, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: May 1, 2026, 12:13 a.m.