Triple
T19436568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epic OpTime |
E486236
|
entity |
| Predicate | capturesData |
P84654
|
FINISHED |
| Object | procedure details |
—
|
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: procedure details | Statement: [Epic OpTime, capturesData, procedure details]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capturesData Context triple: [Epic OpTime, capturesData, procedure details]
-
A.
captures
Indicates that one entity seizes, traps, or takes control of another entity, often preventing its escape or freedom.
-
B.
collectsDataFor
chosen
Indicates that one entity gathers or records data on behalf of, or for the benefit of, another entity.
-
C.
hasCaptureDate
Indicates the date on which something (such as an image, video, or data sample) was originally captured or recorded.
-
D.
capturedDuring
Indicates that one event or state occurred within the temporal span of another, typically representing that something was recorded, seized, or documented while a specific situation or activity was taking place.
-
E.
capturedFor
Indicates that one entity has been taken into custody, control, or possession specifically for the benefit, use, or purpose of 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633618c2881908f3d2a9cabb02289 |
completed | April 20, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:38 p.m.