Triple
T6224844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Cellular |
E139203
|
entity |
| Predicate | communicationService |
P69005
|
FINISHED |
| Object | voice |
—
|
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: voice | Statement: [U.S. Cellular, communicationService, voice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communicationService Context triple: [U.S. Cellular, communicationService, voice]
-
A.
communicationFunction
Indicates that one entity serves a communicative role or purpose in relation to another, such as conveying, mediating, or facilitating the exchange of information.
-
B.
communicationChannel
Indicates a medium or method through which information is transmitted between parties.
-
C.
communicationModel
Indicates the type or framework of communication used or assumed in the relationship between entities.
-
D.
communicationCapability
Indicates that one entity has the ability or means to communicate with another entity through some channel or modality.
-
E.
communicationMode
Indicates the method or channel through which communication between entities is carried out.
- F. None of above. chosen
Provenance (4 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_69c008afd3148190b71e9eaa60420dd1 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062c214c48190b94e7f904e2bf699 |
completed | March 22, 2026, 9:44 p.m. |
| PD | Predicate disambiguation | batch_69c055ffdf54819086d987d646e44ff5 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056c965ac8190b938502fa8c74e1b |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:22 p.m.