Triple
T4476400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gigabit Ethernet |
E100018
|
entity |
| Predicate | maxSegmentLength_1000BASE-LX |
P15978
|
FINISHED |
| Object | up to 5 km on single-mode fiber |
—
|
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: up to 5 km on single-mode fiber | Statement: [Gigabit Ethernet, maxSegmentLength_1000BASE-LX, up to 5 km on single-mode fiber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxSegmentLength_1000BASE-LX Context triple: [Gigabit Ethernet, maxSegmentLength_1000BASE-LX, up to 5 km on single-mode fiber]
-
A.
maximumSegmentLength
chosen
Indicates the greatest allowable or observed length of a segment within a given context or structure.
-
B.
maximumCableDiameter
Indicates the largest cable diameter that is allowed or supported in a given context or configuration.
-
C.
maximumNumberOfSegments
Indicates the greatest allowable or observed count of discrete segments into which something can be or is divided.
-
D.
maximumNetworkSpanWithRepeaters
Indicates the greatest distance a network signal can reliably cover when using repeaters to extend its range.
-
E.
maximumStationsPerSegment
Indicates the greatest number of stations that are allowed or can exist within a single segment.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35728ed508190ba0e882fa62d8848 |
completed | March 13, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69b3563d63008190816e37027e761375 |
completed | March 13, 2026, 12:11 a.m. |
Created at: March 12, 2026, 11:35 p.m.