Triple
T974850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GMA3 |
E21028
|
entity |
| Predicate | featuresContentType |
P640
|
FINISHED |
| Object | news segments |
—
|
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: news segments | Statement: [GMA3, featuresContentType, news segments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresContentType Context triple: [GMA3, featuresContentType, news segments]
-
A.
offersContentType
Indicates that one entity provides or makes available content of a specified type to another entity or context.
-
B.
broadcastsContentType
Indicates that an entity (such as a broadcaster or channel) transmits or distributes content of a specified type.
-
C.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
D.
hasContentType
chosen
Indicates that an entity is associated with or classified by a specific type of content.
-
E.
featureType
Indicates the specific kind or category of feature that characterizes or distinguishes an 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b460a5c0819087b03dfb8a3af2c2 |
completed | March 1, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a6aa2c8190aebba71320ab678f |
completed | March 1, 2026, 9:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.