Triple
T30299952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSArray |
E770627
|
entity |
| Predicate | tollFreeBridgedTo |
P169059
|
FINISHED |
| Object | CFArrayRef |
—
|
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: CFArrayRef | Statement: [NSArray, tollFreeBridgedTo, CFArrayRef]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tollFreeBridgedTo Context triple: [NSArray, tollFreeBridgedTo, CFArrayRef]
-
A.
tollFreeBridgedWith
Indicates that a toll-free communication channel is connected or linked via a bridging mechanism to another network, system, or call path.
-
B.
tollFreePrefixExample
Indicates that the subject is an example of a telephone number prefix that designates a toll-free calling number.
-
C.
hasTollFreeSection
Indicates that a route, road, or transportation facility includes at least one segment where no toll is charged for use.
-
D.
tollFreeForMostSections
Indicates that the majority of sections within something (such as a route, service, or facility) can be used without paying a toll.
-
E.
callingCode
Indicates the telephone country or area code associated with an entity for making phone calls.
- 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_69f224881b948190b8c4921b250a44a3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6813976048190be49bb86744b2fb2 |
completed | May 2, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 29, 2026, 7:48 p.m.