Triple
T13318829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cat 6A |
E317261
|
entity |
| Predicate | channelLength |
P109500
|
FINISHED |
| Object | 100 m including patch cords |
—
|
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: 100 m including patch cords | Statement: [Cat 6A, channelLength, 100 m including patch cords]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: channelLength Context triple: [Cat 6A, channelLength, 100 m including patch cords]
-
A.
hasChannelDepth
Indicates that one entity specifies or records the depth measurement of a channel associated with another entity.
-
B.
extensionLength
Indicates the length or magnitude of an extension from a reference point or base object.
-
C.
networkLength
Indicates the total measured extent or distance covered by a network (e.g., of connections, links, or paths).
-
D.
vectorLength
Indicates the numerical magnitude or size of a vector, typically computed from its components.
-
E.
channelNumber
Indicates the specific numeric identifier assigned to a channel within a system or medium.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6babd88190a5d529df9584b9a4 |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:29 p.m.