Triple
T14593236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All 4 |
E342497
|
entity |
| Predicate | availableContentType |
P95096
|
FINISHED |
| Object | TV programmes |
—
|
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: TV programmes | Statement: [All 4, availableContentType, TV programmes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: availableContentType Context triple: [All 4, availableContentType, TV programmes]
-
A.
offersContentType
Indicates that one entity provides or makes available content of a specified type to another entity or context.
-
B.
mediaTypeAvailable
chosen
Indicates that a particular type or format of media is available for use, access, or distribution in the given context.
-
C.
contentTypesRecommended
Indicates that certain types of content are suggested or recommended in relation to a given entity or context.
-
D.
describesContentType
Indicates that one entity specifies or characterizes the type or category of content associated with another entity.
-
E.
featuredContentType
Indicates the specific type or category of content that is highlighted or promoted as featured.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43480d8819084a707e56da2c237 |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:24 a.m.