Triple
T27672085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NX-API |
E697688
|
entity |
| Predicate | featureNameInNX-OS |
P118490
|
FINISHED |
| Object | feature nxapi |
—
|
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: feature nxapi | Statement: [NX-API, featureNameInNX-OS, feature nxapi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featureNameInNX-OS Context triple: [NX-API, featureNameInNX-OS, feature nxapi]
-
A.
force10Name
Indicates that an entity is assigned or associated with a specific Force10 (networking/switch) name identifier.
-
B.
featuresAlias
Indicates that one entity is used as an alternative name or label (an alias) for another entity.
-
C.
featuresMode
Indicates that one entity operates in, supports, or is characterized by a particular mode or configuration specified by another entity.
-
D.
featuresModel
Indicates that one entity includes, exposes, or is characterized by a particular model as one of its defining components or capabilities.
-
E.
featureDesignation
chosen
Indicates the specific label or name assigned to a feature to distinguish it from other features.
- 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_69ef590d458c81909583290c3cd0478b |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fd6a1c1c4881908090053bc359b181 |
completed | May 8, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69fd696f24d8819091033afacbdaadc5 |
completed | May 8, 2026, 4:41 a.m. |
Created at: April 27, 2026, 2:41 p.m.