Triple
T38541139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DeviceNet |
E924836
|
entity |
| Predicate | logicalAddressing |
P64006
|
FINISHED |
| Object | node addresses 0–63 |
—
|
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: node addresses 0–63 | Statement: [DeviceNet, logicalAddressing, node addresses 0–63]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: logicalAddressing Context triple: [DeviceNet, logicalAddressing, node addresses 0–63]
-
A.
wordAddressable
Indicates that data in a memory or storage system can be individually accessed and manipulated at the granularity of single words rather than larger blocks or bytes.
-
B.
addressingMechanism
chosen
Indicates the method or system used to identify, locate, or reference a target within a larger space, network, or structure.
-
C.
addressMode
Indicates how data or resources are accessed or referenced within a system, such as the method or scheme used to locate them.
-
D.
addressedThrough
Indicates that an issue, request, or communication is handled, resolved, or processed by means of a specified channel, method, or intermediary.
-
E.
dynamicAddressAllocation
Indicates that addresses are assigned to entities dynamically at runtime rather than being fixed or statically configured.
- 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.