Triple
T7836391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCNP Voice |
E181698
|
entity |
| Predicate | examCodePrefix |
P29439
|
FINISHED |
| Object | 642-4xx |
—
|
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: 642-4xx | Statement: [CCNP Voice, examCodePrefix, 642-4xx]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: examCodePrefix Context triple: [CCNP Voice, examCodePrefix, 642-4xx]
-
A.
examCode
chosen
Indicates a relationship where a specific code uniquely identifies or is assigned to an examination or test instance.
-
B.
examProvider
Indicates that one entity is the organization or individual responsible for creating, administering, or supplying an exam to another entity.
-
C.
examType
Indicates the specific category or format of an exam associated with an assessment or testing event.
-
D.
tailCodePrefix
Indicates that one entity’s tail code begins with, or is prefixed by, the string represented by the other entity.
-
E.
isOfficialCodeFor
Indicates that one entity serves as the formally recognized or authorized code that designates or identifies another entity.
- 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_69ca8284a25c8190a1a20afad30da792 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb064cb7e081909e88419863d94dfe |
completed | March 30, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69cae91e98988190abd4ece75932c589 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:46 p.m.