Triple
T8264889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EPIC camera |
E193276
|
entity |
| Predicate | imagesPerDay |
P62242
|
FINISHED |
| Object | multiple images per day |
—
|
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: multiple images per day | Statement: [EPIC camera, imagesPerDay, multiple images per day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imagesPerDay Context triple: [EPIC camera, imagesPerDay, multiple images per day]
-
A.
numberOfImagesTaken
Indicates the quantity of images that have been captured or recorded in relation to a given subject or event.
-
B.
numberOfImagesReturned
Indicates the total count of images that are produced or provided as the result of a query, request, or operation.
-
C.
countInDayApprox
chosen
Indicates an approximate number of times an event or relation occurs within a single day.
-
D.
numberOfStills
Indicates the quantity of still images associated with or contained in a given entity or context.
-
E.
numberOfIllustrations
Indicates the quantity of illustrations associated with or contained in an 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb793aa8f08190b20b3616ceb9bec7 |
completed | March 31, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_69cb36b8707881909aca349230495a5a |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:49 p.m.