Triple
T830558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1000BASE-SX |
E17953
|
entity |
| Predicate | usesPhysicalCodingSublayer |
P20489
|
FINISHED |
| Object | PCS |
—
|
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: PCS | Statement: [1000BASE-SX, usesPhysicalCodingSublayer, PCS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPhysicalCodingSublayer Context triple: [1000BASE-SX, usesPhysicalCodingSublayer, PCS]
-
A.
usesPhysicalLayerSimilarTo
Indicates that one entity employs a physical layer that is similar in structure, technology, or operational characteristics to that used by another entity.
-
B.
physicalLayer
Indicates a relationship where one entity functions as or pertains to the lowest (physical) layer in a layered system or communication stack, handling the actual transmission of signals or raw data.
-
C.
usesConformanceLevels
Indicates that one entity applies or adheres to defined conformance levels when interacting with or evaluating another entity.
-
D.
hasDigitalEncoding
Indicates that one entity is represented, stored, or expressed using a specific digital code or encoding scheme provided by another entity.
-
E.
isFeatureLength
Indicates that something (typically a film or video) has a duration long enough to be considered a full-length, standard feature.
- 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4abb384988190949d2df65662f76d |
completed | March 1, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69a4aa79a6488190a634388e071ed9b7 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab4893e481908632102d240466dc |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:38 p.m.