Triple
T830538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1000BASE-SX |
E17953
|
entity |
| Predicate | distanceSupportDependsOn |
P20488
|
FINISHED |
| Object | fiber core size |
—
|
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: fiber core size | Statement: [1000BASE-SX, distanceSupportDependsOn, fiber core size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceSupportDependsOn Context triple: [1000BASE-SX, distanceSupportDependsOn, fiber core size]
-
A.
hasDependency
Indicates that one entity relies on or requires another entity in order to function, exist, or be fulfilled.
-
B.
powerDependsOn
Indicates that the power or effectiveness of one entity is contingent upon, or influenced by, another entity.
-
C.
distance
Indicates the spatial separation or length between two points, objects, or locations.
-
D.
endsOn
Indicates that one entity terminates or concludes precisely at the boundary or endpoint of another entity.
-
E.
supportsRelation
Indicates that one entity provides assistance, endorsement, or structural backing to another entity or its activity.
- 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.