Triple
T7876435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCIE Collaboration |
E182866
|
entity |
| Predicate | levelInCiscoHierarchy |
P14125
|
FINISHED |
| Object | expert |
—
|
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: expert | Statement: [CCIE Collaboration, levelInCiscoHierarchy, expert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: levelInCiscoHierarchy Context triple: [CCIE Collaboration, levelInCiscoHierarchy, expert]
-
A.
OSIModelLayer
Indicates the specific layer within the OSI (Open Systems Interconnection) model at which a networking function, protocol, or interaction operates.
-
B.
railroadHierarchyLevel
Indicates the position or rank of a railroad-related entity within an ordered organizational or structural hierarchy.
-
C.
designationLevel
chosen
Indicates the specific rank, tier, or level assigned to an entity within a designation or classification system.
-
D.
configurationLevel
Indicates the degree or tier of settings or parameters applied to configure something within a system or context.
-
E.
levelInNationalTeamStructure
Indicates the hierarchical tier or rank that an entity occupies within a national team’s organizational structure.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39aa7ca88190b88a18f6a8971e51 |
completed | March 31, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69cae928e1b88190b0620f4c4f03bc7d |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:57 p.m.