Triple
T16461634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global |
E399819
|
entity |
| Predicate | ownsBrand |
P1500
|
FINISHED |
| Object | LBC News |
E249905
|
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: LBC News | Statement: [Global, ownsBrand, LBC News]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LBC News Context triple: [Global, ownsBrand, LBC News]
-
A.
LBC
chosen
LBC is a leading UK-based national talk radio station known for its news, politics, and phone-in discussion programmes.
-
B.
ANO TV-Novosti
ANO TV-Novosti is a Russian state-funded media organization that operates the international television network RT (formerly Russia Today).
-
C.
BBC News Channel
BBC News Channel is a 24-hour British television news service providing rolling national and international news coverage.
-
D.
Polsat
Polsat is a major Polish commercial television channel known for broadcasting popular entertainment, news, and cultural programming nationwide.
-
E.
CNews
CNews is a French 24-hour television news channel known for its rolling news coverage and opinion-led programming.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d819d548190bc76a0ec2e223437 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f555f6081908b1f0d524b6fb9a7 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.