Triple
T27572411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L3Out |
E696069
|
entity |
| Predicate | configuredOn |
P167327
|
FINISHED |
| Object | Cisco ACI 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: Cisco ACI tenant | Statement: [L3Out, configuredOn, Cisco ACI tenant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: configuredOn Context triple: [L3Out, configuredOn, Cisco ACI tenant]
-
A.
configuredPer
Indicates that one entity is set up, arranged, or parameterized according to the specifications or requirements of another entity.
-
B.
configurationAvailable
Indicates that a specific configuration option or setup is present and can be used or applied in the given context.
-
C.
hasConfiguration
Indicates that an entity is associated with or defined by a particular configuration or setup.
-
D.
implementedOn
Indicates that something (such as a feature, standard, or specification) is realized, executed, or put into effect within or on a particular platform, system, or environment.
-
E.
partlyConfiguredAs
Indicates that one entity is only partially set up, arranged, or defined to function as another entity or in another role.
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 27, 2026, 1:43 p.m.