Triple
T65178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KRLD-TV |
E1296
|
entity |
| Predicate | originalAnalogChannelType |
P93
|
FINISHED |
| Object | terrestrial 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: terrestrial television | Statement: [KRLD-TV, originalAnalogChannelType, terrestrial television]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalAnalogChannelType Context triple: [KRLD-TV, originalAnalogChannelType, terrestrial television]
-
A.
originalChannel
Indicates the communication channel or medium through which something was first created, sent, or published.
-
B.
isAnalogOrDigital
chosen
Indicates whether something operates using analog signals/representation or digital signals/representation.
-
C.
connectorType
Indicates the specific kind or category of connection interface that links two entities.
-
D.
originalTrafficType
Indicates the initial category or source classification of traffic before any changes, redirects, or reattributions occur.
-
E.
standardType
Indicates that one entity is classified as the standard, canonical, or reference type for another entity or context.
- 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a2516eda54819090f5c14384d4eab1 |
completed | Feb. 28, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69a24ea5c140819080409a968c8d2ce8 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.