Triple
T28533699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EPIC |
E722105
|
entity |
| Predicate | imagingCadence |
P122751
|
FINISHED |
| Object | about 1 image every 1–2 hours |
—
|
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: about 1 image every 1–2 hours | Statement: [EPIC, imagingCadence, about 1 image every 1–2 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imagingCadence Context triple: [EPIC, imagingCadence, about 1 image every 1–2 hours]
-
A.
hasImagingCadence
chosen
Indicates the regular interval or frequency at which imaging observations are repeatedly acquired.
-
B.
inspectionFrequency
Indicates how often an entity is examined, checked, or reviewed within a given time period.
-
C.
imagingInstrument
Indicates that a particular instrument or device is used to capture or produce an image of a target or subject.
-
D.
measurementFrequency
Indicates how often a measurement is taken or recorded over time.
-
E.
imagedIn
Indicates that one entity appears within or is depicted in an image associated with 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_69f01a5d7ec88190ada2d5be7c06c35d |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64fd847008190b2e0f3364ac3fedd |
completed | May 2, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:30 a.m.