Triple
T4500625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CFTO-TV |
E101208
|
entity |
| Predicate | countryMarket |
P12320
|
FINISHED |
| Object | Canadian television market |
—
|
LITERAL 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: Canadian television market | Statement: [CFTO-TV, countryMarket, Canadian television market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryMarket Context triple: [CFTO-TV, countryMarket, Canadian television market]
-
A.
marketRegion
chosen
Indicates the geographic or demographic area in which a product, service, or entity is actively marketed or targeted.
-
B.
countryTargeted
Indicates that a particular country is the intended object or focus of an action, operation, or influence.
-
C.
countrySegment
Indicates that something represents a specific geographic or administrative segment or portion within a country.
-
D.
countryStatus
Indicates the political or legal condition of a country, such as its sovereignty, recognition, or current state in international or domestic contexts.
-
E.
countryScope
Indicates that something is limited to, applicable within, or defined at the level of a specific country.
- F. None of above.
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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56c4080c8190bd9580c961acaca8 |
completed | March 20, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_69bd521671688190bc655d25fa77eba2 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1 p.m.