Triple
T527925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CBC |
E10963
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | CBC News |
E10963
|
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: CBC News | Statement: [CBC, hasDivision, CBC News]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CBC News Context triple: [CBC, hasDivision, CBC News]
-
A.
CBC
chosen
CBC is Canada's national public broadcaster, known for airing major sports events, news, and original programming on television and radio.
-
B.
Citytv
Citytv is a Canadian television network known for its urban-focused programming and distinctive, youth-oriented branding.
-
C.
ABC News
ABC News is the news division of the American Broadcasting Company, providing television, digital, and radio news coverage in the United States and internationally.
-
D.
Yahoo News
Yahoo News is a major online news and media platform providing global and local coverage across politics, business, entertainment, and more as part of the Yahoo digital ecosystem.
-
E.
CNN
CNN is a major American cable news television channel known for pioneering 24-hour news coverage and live reporting from global events.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1d2851c81908129f7da932ab7b3 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4b8abbfbc819086148dc95b807e06 |
completed | March 1, 2026, 10:07 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.