Triple
T29655871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GSL |
E750261
|
entity |
| Predicate | hasEnglishBroadcast |
P138780
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [GSL, hasEnglishBroadcast, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnglishBroadcast Context triple: [GSL, hasEnglishBroadcast, true]
-
A.
hasEnglishReception
Indicates that something has been received, interpreted, or responded to within an English-speaking context.
-
B.
hasEnglishEdition
Indicates that one entity has a version or edition of itself that is produced or available in the English language.
-
C.
languageOfPrimaryBroadcasts
Indicates the language in which an entity’s primary broadcasts are delivered.
-
D.
hasLanguageOfShows
Indicates that an entity (such as a channel, platform, or schedule) is associated with the language in which its shows are presented.
-
E.
hasEnglishComponent
chosen
Indicates that something includes or is associated with a component that is in the English language.
- 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_69f0d6226fe881908819197c9ef9ee04 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: April 28, 2026, 6:55 p.m.