Triple
T38308258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cat 5e |
E1033613
|
entity |
| Predicate | pairCount |
P55010
|
FINISHED |
| Object | 4 twisted pairs |
—
|
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: 4 twisted pairs | Statement: [Cat 5e, pairCount, 4 twisted pairs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pairCount Context triple: [Cat 5e, pairCount, 4 twisted pairs]
-
A.
numberOfPairsUsed
chosen
Indicates the quantity of distinct pairs involved or utilized in a given context or operation.
-
B.
isPairOf
Indicates that two entities are associated as a matched or corresponding pair within a defined context.
-
C.
commonPair
Indicates that two entities commonly occur together or are frequently associated as a pair in some shared context.
-
D.
parityWith
Indicates that two entities share the same parity, such as both being even or both being odd.
-
E.
pairedSingleWith
Indicates that one entity is matched or associated as a single counterpart with another single entity, typically forming an exclusive one-to-one pairing.
- 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_69f76e132c408190969b3d35c04b87ae |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.