Triple
T908619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10GBASE-ER |
E19605
|
entity |
| Predicate | usesForwardErrorCorrection |
P22596
|
FINISHED |
| Object | no mandatory FEC in base specification |
—
|
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: no mandatory FEC in base specification | Statement: [10GBASE-ER, usesForwardErrorCorrection, no mandatory FEC in base specification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesForwardErrorCorrection Context triple: [10GBASE-ER, usesForwardErrorCorrection, no mandatory FEC in base specification]
-
A.
usesIntegrityCheck
Indicates that an entity employs a mechanism to verify the integrity or correctness of data, code, or operations.
-
B.
usesCrosstalkCancellation
Indicates that one entity applies crosstalk cancellation techniques to reduce or eliminate interference between signals associated with another entity.
-
C.
eraCode
Indicates the specific historical or temporal era associated with an entity, typically encoded as a standardized era identifier.
-
D.
hasPerceptualQuality
Indicates that something possesses a particular sensory or perceptual characteristic, such as a color, sound, texture, taste, or smell.
-
E.
usesPhysicalCodingSublayer
Indicates that one entity employs or relies on another entity as its physical coding sublayer within a communication or networking stack.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3bcad2481908b83575b2fb80d14 |
completed | March 1, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69a4b28ff5948190982c4439eadf9d87 |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b3bab5788190a62a0e23a698f7c7 |
completed | March 1, 2026, 9:46 p.m. |
Created at: March 1, 2026, 7:39 p.m.