Triple
T847876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1000BASE-LX |
E18316
|
entity |
| Predicate | typicalMaximumDistanceMultimode |
P17802
|
FINISHED |
| Object | 550 m |
—
|
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: 550 m | Statement: [1000BASE-LX, typicalMaximumDistanceMultimode, 550 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalMaximumDistanceMultimode Context triple: [1000BASE-LX, typicalMaximumDistanceMultimode, 550 m]
-
A.
maximumReach
Indicates the greatest extent, distance, or limit that something can reach or influence within a given context.
-
B.
maximumStationsPerSegment
Indicates the greatest number of stations that are allowed or can exist within a single segment.
-
C.
maximumSegmentLength
Indicates the greatest allowable or observed length of a segment within a given context or structure.
-
D.
typicalLength
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
E.
distanceCharacteristic
chosen
Indicates a relationship where an entity is described or constrained by some property or measure of distance (e.g., range, spacing, or separation).
- 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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac1e41748190a21cd1ce5ebcb8ff |
completed | March 1, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69a4aa807adc8190ad808a573cf8e923 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.