Triple
T2770751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CNN Airport Network |
E61448
|
entity |
| Predicate | advertisingFormat |
P23225
|
FINISHED |
| Object | in-terminal television advertising |
—
|
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: in-terminal television advertising | Statement: [CNN Airport Network, advertisingFormat, in-terminal television advertising]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: advertisingFormat Context triple: [CNN Airport Network, advertisingFormat, in-terminal television advertising]
-
A.
offersProgramFormat
Indicates that an entity provides or makes available a specific type or format of program.
-
B.
format
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
C.
operatesInFormat
Indicates that an entity functions, performs its role, or is carried out using a specified format.
-
D.
typicalBroadcastFormat
Indicates the usual or standard broadcast format in which something (such as a program or content) is typically transmitted.
-
E.
featuresFormat
chosen
Indicates that something (such as a product, service, or medium) is presented, delivered, or made available in a particular format or configuration.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddceb9d88190961e30d521a21552 |
completed | March 7, 2026, 8:11 a.m. |
| PD | Predicate disambiguation | batch_69abdcfed608819080988e93df7bdf7c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 9:57 p.m.