Triple
T2521184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTV Cribs |
E55525
|
entity |
| Predicate | originalNetworkType |
P3937
|
FINISHED |
| Object | cable television channel |
—
|
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: cable television channel | Statement: [MTV Cribs, originalNetworkType, cable television channel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalNetworkType Context triple: [MTV Cribs, originalNetworkType, cable television channel]
-
A.
networkType
chosen
Indicates the category or kind of network associated with or used by an entity (e.g., wired, wireless, virtual, or specific protocol-based networks).
-
B.
originalNetworkName
Indicates the name of the network from which something (e.g., data, content, or a connection) originally came.
-
C.
originalNetwork
Indicates that one entity is the original or source network from which another network or derived entity is based or obtained.
-
D.
routeNetworkType
Indicates the specific kind of transportation or communication network to which a route belongs (e.g., road, rail, or air).
-
E.
originalTrafficType
Indicates the initial category or source classification of traffic before any changes, redirects, or reattributions occur.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2367b6c819094239dfd12399643 |
completed | March 7, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69abd0c144b0819092f32a13c1d127e5 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.