Triple
T968584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syrian Civil War |
E20891
|
entity |
| Predicate | hasMediaCoverage |
P1782
|
FINISHED |
| Object | BBC News |
E78090
|
NE 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: BBC News | Statement: [Syrian Civil War, hasMediaCoverage, BBC News]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BBC News Context triple: [Syrian Civil War, hasMediaCoverage, BBC News]
-
A.
BBC
The BBC (British Broadcasting Corporation) is the United Kingdom’s publicly funded national broadcaster, known worldwide for producing and distributing television, radio, and online content.
-
B.
BBC News Channel
chosen
BBC News Channel is a 24-hour British television news service providing rolling national and international news coverage.
-
C.
Sky News
Sky News is a British 24-hour television news channel and digital news service known for live breaking news coverage in the UK and internationally.
-
D.
BBC News at Ten
BBC News at Ten is the BBC’s flagship late-evening television news bulletin, providing national and international news coverage on weekdays.
-
E.
BBC English
BBC English is a prestigious accent of British English traditionally associated with educated speakers and national broadcasters in the United Kingdom.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b4481f508190adcf0a965a23862c |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3ba14f00819089497240f77acd94 |
completed | March 7, 2026, 2:52 p.m. |
Created at: March 1, 2026, 7:40 p.m.