Triple
T20333073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RT America |
E492531
|
entity |
| Predicate | distributionEnded |
P28096
|
FINISHED |
| Object | March 2022 |
—
|
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: March 2022 | Statement: [RT America, distributionEnded, March 2022]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distributionEnded Context triple: [RT America, distributionEnded, March 2022]
-
A.
campaignEndedWith
Indicates that a particular campaign has concluded and specifies the event, condition, or outcome with which it ended.
-
B.
campaignEnded
Indicates that a previously active campaign has concluded and is no longer ongoing.
-
C.
distributionStatus
chosen
Indicates the current state or phase of how something is being distributed, such as whether distribution is planned, in progress, completed, or halted.
-
D.
alsoEnded
Indicates that one event or state concluded in addition to another already mentioned event or state.
-
E.
deploymentEnd
Indicates the point in time or event at which a deployment process or deployment state comes to an end.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e94e2481908898e0a3513e1209 |
completed | April 20, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:22 a.m.