Triple
T16062496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cricket Wireless |
E389644
|
entity |
| Predicate | hasRoaming |
P23934
|
FINISHED |
| Object | domestic roaming on AT&T network |
—
|
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: domestic roaming on AT&T network | Statement: [Cricket Wireless, hasRoaming, domestic roaming on AT&T network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoaming Context triple: [Cricket Wireless, hasRoaming, domestic roaming on AT&T network]
-
A.
supportsRoamingWith
chosen
Indicates that one entity enables or is compatible with another entity’s ability to operate or be accessed while roaming across different networks or locations.
-
B.
hasMVNO
Indicates that one entity operates as a Mobile Virtual Network Operator (MVNO) using the network infrastructure or services provided by another entity.
-
C.
hasCellService
Indicates that a location, device, or area is within range of a cellular network and can access mobile phone or data services.
-
D.
refersToCountryOfBearer
Indicates that something is associated with or identifies the country to which the bearer belongs.
-
E.
hasCellularComponent
Indicates that an entity possesses, includes, or is associated with a specific cellular component as part of its structure or organization.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:57 a.m.