Triple
T25248728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Know It All |
E632672
|
entity |
| Predicate | countryVersionRadioFormat |
P115609
|
FINISHED |
| Object | country radio |
—
|
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: country radio | Statement: [Mr. Know It All, countryVersionRadioFormat, country radio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryVersionRadioFormat Context triple: [Mr. Know It All, countryVersionRadioFormat, country radio]
-
A.
radioVersionType
Indicates the specific type or category of a radio version associated with an item or entity.
-
B.
playsFormatForCountry
Indicates that a particular media format is used or broadcast in a specified country.
-
C.
radioVersionName
Indicates the specific name or label assigned to a version of a radio-related item or system.
-
D.
countrySpecificFormat
chosen
Indicates that something follows a format or structure that is specific to, and varies by, a particular country.
-
E.
countryVariant
Indicates that one entity is a country-specific variant or localized version of another entity.
- 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_69e75a8fdd3881909ba0b05aa5da92a7 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 21, 2026, 1:10 p.m.