Triple
T15034336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BBC News at One studio |
E378440
|
entity |
| Predicate | timeSlotServed |
P31342
|
FINISHED |
| Object | early afternoon news bulletin |
—
|
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: early afternoon news bulletin | Statement: [BBC News at One studio, timeSlotServed, early afternoon news bulletin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeSlotServed Context triple: [BBC News at One studio, timeSlotServed, early afternoon news bulletin]
-
A.
servedTimeAt
Indicates the specific time period during which an entity was served or received service at a particular place or context.
-
B.
servedTimeFor
Indicates that one entity has completed or spent a specified duration of time serving a sentence, obligation, or term on behalf of another entity or for a particular case or offense.
-
C.
servedBetween
Indicates that an entity provided service or operated during a time interval bounded by two specified temporal points.
-
D.
servedDuring
chosen
Indicates that one entity held a role, position, or performed a function within the time period defined by another entity.
-
E.
timeSlotOfWorks
Indicates the specific time period or interval during which the works (e.g., tasks, events, or activities) are scheduled or take place.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e3a7c8819081f26c2435c1bcb2 |
completed | April 15, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:59 a.m.