Triple
T2602512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States and Canada |
E58376
|
entity |
| Predicate | sharesMediaContent |
P8246
|
FINISHED |
| Object | television |
—
|
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: television | Statement: [United States and Canada, sharesMediaContent, television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesMediaContent Context triple: [United States and Canada, sharesMediaContent, television]
-
A.
sharesIn
Indicates that one entity holds or possesses shares or ownership stakes in another entity.
-
B.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
C.
shareCultureWith
Indicates that two entities mutually participate in, express, or are influenced by the same cultural practices, values, or traditions.
-
D.
sharesFeatureWith
Indicates that two entities have at least one common attribute, property, or characteristic in common.
-
E.
sharesPlatformWith
chosen
Indicates that two entities operate on, are available through, or participate within the same platform or system.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd459ca6c81908505be96d097b739 |
completed | March 7, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69abd0d4e8648190b612eb09aa085451 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.