Triple
T33659730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keeping Up Appearances |
E862316
|
entity |
| Predicate | hasInternationalBroadcast |
P108281
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Keeping Up Appearances, hasInternationalBroadcast, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalBroadcast Context triple: [Keeping Up Appearances, hasInternationalBroadcast, United States]
-
A.
isBroadcastInternationally
chosen
Indicates that a broadcast is transmitted and made available across multiple countries or beyond national boundaries.
-
B.
hasInternationalFeed
Indicates that an entity provides or is associated with a feed or stream that is available across multiple countries or international regions.
-
C.
hasInternationalStatus
Indicates that an entity holds a recognized status, role, or standing at the international level rather than being limited to a single country or local jurisdiction.
-
D.
hasInternationalField
Indicates that an entity includes or is associated with a field, attribute, or component that pertains to international or cross-border aspects.
-
E.
hasInternationalVersion
Indicates that an entity has a corresponding version or counterpart adapted for use in multiple countries or international contexts.
- 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_69f34984c4008190bb82f33a7819da64 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fffc783b648190bcd7df017514d206 |
completed | May 10, 2026, 3:33 a.m. |
| PD | Predicate disambiguation | batch_69fffc03fa24819099e12413dc6e0afd |
completed | May 10, 2026, 3:31 a.m. |
Created at: May 1, 2026, 1:42 a.m.