Triple
T15706787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BBC News |
E380733
|
entity |
| Predicate | operatesChannel |
P5884
|
FINISHED |
| Object | BBC News Channel |
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 Channel | Statement: [BBC News, operatesChannel, BBC News Channel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BBC News Channel Context triple: [BBC News, operatesChannel, BBC News Channel]
-
A.
BBC News Channel
chosen
BBC News Channel is a 24-hour British television news service providing rolling national and international news coverage.
-
B.
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.
-
C.
BBC World News
BBC World News is the BBC’s international television news channel, providing global news coverage and analysis to audiences worldwide.
-
D.
NBC News
NBC News is a major American television news division known for producing national and international news programs across broadcast and digital platforms.
-
E.
BBC
BBC is a humanitarian organization that has provided aid and support to Burmese refugees and displaced people along the Thailand–Myanmar border.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f70d44c81909edba6bd4b58b1c5 |
completed | April 16, 2026, 2:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff757997348190b29a9b55ba08169f |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:45 a.m.