Triple
T37572177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GTV |
E934717
|
entity |
| Predicate | hasEntertainmentProgramming |
P51190
|
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: [GTV, hasEntertainmentProgramming, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEntertainmentProgramming Context triple: [GTV, hasEntertainmentProgramming, true]
-
A.
hasNationalProgramming
Indicates that an entity provides or is associated with programming content that is broadcast or distributed at a national level.
-
B.
isScriptedEntertainment
Indicates that the entertainment content is pre-planned and follows a written script rather than being spontaneous or unscripted.
-
C.
hasPublicServiceProgramming
Indicates that an entity provides or includes programming intended for public service, such as educational, informational, or community-oriented content.
-
D.
hasReligiousProgramming
Indicates that an entity provides, features, or includes content or activities related to religious themes, practices, or teachings.
-
E.
hasEntertainmentOptions
chosen
Indicates that an entity provides or includes one or more forms of entertainment or leisure activities as options.
- 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe163a41a0819098403b470e327d29 |
completed | May 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fe1358db5c819092570814a37ef5bd |
completed | May 8, 2026, 4:46 p.m. |
Created at: May 3, 2026, 4:17 p.m.