Triple
T20137133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 25 Minutes to Go |
E491051
|
entity |
| Predicate | portraysTimeFrame |
P79697
|
FINISHED |
| Object | final 25 minutes before execution |
—
|
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: final 25 minutes before execution | Statement: [25 Minutes to Go, portraysTimeFrame, final 25 minutes before execution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysTimeFrame Context triple: [25 Minutes to Go, portraysTimeFrame, final 25 minutes before execution]
-
A.
showsTimePeriod
chosen
Indicates that one entity presents or displays a specific span or interval of time associated with another entity.
-
B.
depictionOfTime
Indicates that one entity visually represents or symbolizes a specific moment, period, or progression of time associated with another entity.
-
C.
timeframeApproximate
Indicates that the time period associated with an event or relation is not exact but only roughly or loosely specified.
-
D.
appearsInTimePeriodDepicted
Indicates that something is present or occurs within the specific time period that is depicted or represented.
-
E.
appearsInTimePeriod
Indicates that an entity is present, active, or occurs within a specified time period.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6676879f48190a59da04393d2a8cc |
completed | April 20, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:32 p.m.