Triple
T33027520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TYPE |
E845080
|
entity |
| Predicate | statePersistsFor |
P36117
|
FINISHED |
| Object | subsequent file transfers in same session |
—
|
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: subsequent file transfers in same session | Statement: [TYPE, statePersistsFor, subsequent file transfers in same session]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statePersistsFor Context triple: [TYPE, statePersistsFor, subsequent file transfers in same session]
-
A.
persistsWhen
Indicates that a condition, state, or effect continues to hold or remain true when a specified event, action, or change occurs.
-
B.
persistsAfter
chosen
Indicates that one state, condition, or effect continues to exist after a specified event, time point, or other state has occurred or ended.
-
C.
persistsAcross
Indicates that a state, condition, or relationship continues to hold unchanged across different times, situations, or contexts.
-
D.
supportsPersistence
Indicates that one entity enables or provides the capability for another entity’s data or state to be stored and retained over time.
-
E.
persistence
Indicates a continued or repeated existence, occurrence, or effort of something over time despite potential changes or obstacles.
- 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_69f34950749c8190ae05cd27adb16d58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fdfbafe32081909c62653ff4fc155c |
completed | May 8, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69fdf64db4a881908f8250e24ae3cefb |
completed | May 8, 2026, 2:42 p.m. |
Created at: May 1, 2026, 1:23 a.m.