Triple
T7836028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cisco ACI |
E181692
|
entity |
| Predicate | keyAbstraction |
P5688
|
FINISHED |
| Object | Tenant |
—
|
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: Tenant | Statement: [Cisco ACI, keyAbstraction, Tenant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyAbstraction Context triple: [Cisco ACI, keyAbstraction, Tenant]
-
A.
key
Indicates that one entity functions as a key (literal or metaphorical) that unlocks, enables access to, or provides a crucial solution or control over another entity.
-
B.
keyComponent
chosen
Indicates that one entity is an essential or foundational part required for the proper function, structure, or identity of another entity.
-
C.
keyType
Indicates the classification or category of a key in relation to how it is used or defined within a system or context.
-
D.
keyOrganizer
Indicates a relationship where one entity is responsible for managing, arranging, or keeping track of keys for another entity or context.
-
E.
keyUse
Indicates that one entity is used as a key or means of access, control, or identification for 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.