Triple
T38541140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DeviceNet |
E924836
|
entity |
| Predicate | maxNodes |
P178805
|
FINISHED |
| Object | 64 |
—
|
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: 64 | Statement: [DeviceNet, maxNodes, 64]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxNodes Context triple: [DeviceNet, maxNodes, 64]
-
A.
maximumNodesPerNetwork
chosen
Indicates the highest number of nodes that are allowed or supported within a single network.
-
B.
maxNumberOfValues
Indicates the maximum count of distinct values that may be associated with a given entity or property in this relationship.
-
C.
maximumNumberOfNCMPs
Indicates the highest allowable or observed count of NCMPs associated with a given context or entity.
-
D.
maximumClusterCount
Indicates the highest number of clusters that are allowed or can be formed in a given context.
-
E.
maximumObjectCount
Indicates the largest number of objects that are allowed or expected to participate in or be associated with a given relationship or context.
- 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_69f76eadeac081909cdfdd0474cb6765 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcd2e9f0a8819096d4ef1dfefc8db0 |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f81cbc8190b4fd3bfc3106c1f3 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.