Triple
T2630033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citytv |
E59609
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
CKVU-DT Vancouver
CKVU-DT Vancouver is a Canadian television station serving the Vancouver area as the local Citytv network affiliate.
|
E59609
|
NE FINISHED |
How this triple was built (4 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: CKVU-DT Vancouver | Statement: [Citytv, hasStation, CKVU-DT Vancouver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CKVU-DT Vancouver Context triple: [Citytv, hasStation, CKVU-DT Vancouver]
-
A.
DZAQ-TV
DZAQ-TV was the pioneering television station in the Philippines, marking the birth of Philippine television broadcasting.
-
B.
Vancouver Media
Vancouver Media is a Spanish television production company best known for creating the hit heist series "Money Heist" (La Casa de Papel).
-
C.
Citytv
Citytv is a Canadian television network known for its urban-focused programming and distinctive, youth-oriented branding.
-
D.
CTV
CTV is a major Canadian television network known for broadcasting a wide range of news, entertainment, and reality programming.
-
E.
CBC
CBC is Canada's national public broadcaster, known for airing major sports events, news, and original programming on television and radio.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CKVU-DT Vancouver Triple: [Citytv, hasStation, CKVU-DT Vancouver]
Generated description
CKVU-DT Vancouver is a Canadian television station serving the Vancouver area as the local Citytv network affiliate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CKVU-DT Vancouver Target entity description: CKVU-DT Vancouver is a Canadian television station serving the Vancouver area as the local Citytv network affiliate.
-
A.
DZAQ-TV
DZAQ-TV was the pioneering television station in the Philippines, marking the birth of Philippine television broadcasting.
-
B.
Vancouver Media
Vancouver Media is a Spanish television production company best known for creating the hit heist series "Money Heist" (La Casa de Papel).
-
C.
Citytv
chosen
Citytv is a Canadian television network known for its urban-focused programming and distinctive, youth-oriented branding.
-
D.
CTV
CTV is a major Canadian television network known for broadcasting a wide range of news, entertainment, and reality programming.
-
E.
CBC
CBC is Canada's national public broadcaster, known for airing major sports events, news, and original programming on television and radio.
- F. None of above.
Provenance (5 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8c452508190b02e1630d725497a |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90a7021081909f81c4ddb48fa00c |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af9172ba248190bbc68a00b43d9b44 |
completed | March 10, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af92500920819082c651f75a06dd72 |
completed | March 10, 2026, 3:38 a.m. |
Created at: March 6, 2026, 9:50 p.m.