Triple
T35569879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YTV |
E1027886
|
entity |
| Predicate | timeShiftFeed |
P19768
|
FINISHED |
| Object | YTV Pacific |
—
|
NE NERFINISHED |
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: YTV Pacific | Statement: [YTV, timeShiftFeed, YTV Pacific]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeShiftFeed Context triple: [YTV, timeShiftFeed, YTV Pacific]
-
A.
timeShiftService
chosen
Indicates that a service is provided with a shifted or delayed time relative to its original or real-time schedule.
-
B.
timeShiftProperty
Indicates a relationship where one property value is derived from another by applying a temporal shift (e.g., offsetting it to an earlier or later point in time).
-
C.
timeJump
Indicates a discontinuous transition of an entity from one point in time to another, skipping the intervening duration.
-
D.
timeBasedMedia
Indicates that the subject is a media resource whose content unfolds over time, such as audio, video, or other time-dependent media.
-
E.
followsTime
Indicates that one event, state, or time period occurs after and in temporal succession to another.
- 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_69f76e020fd8819081cb080e7e203083 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.