Triple
T38308259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cat 5e |
E1033613
|
entity |
| Predicate | conductorType |
P190628
|
FINISHED |
| Object | copper |
—
|
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: copper | Statement: [Cat 5e, conductorType, copper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conductorType Context triple: [Cat 5e, conductorType, copper]
-
A.
conduitType
Indicates the specific kind or category of conduit through which something (such as energy, information, or material) is transmitted or carried.
-
B.
hasConductor
Indicates that an entity (such as an event, performance, or ensemble) is associated with a specific conductor who leads or directs it.
-
C.
cableType
Indicates the specific kind or category of cable associated with or used by an entity.
-
D.
associatedWithConductor
Indicates that an entity has a relationship or connection with a conductor, such as working with, being guided by, or otherwise being linked to that conductor.
-
E.
circuitType
Indicates the specific kind or category of electrical circuit associated with an entity.
- 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_69f76e132c408190969b3d35c04b87ae |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
| PDg | Predicate description generation | batch_69fccbd6b7688190b746803cf78d5704 |
completed | May 7, 2026, 5:28 p.m. |
Created at: May 3, 2026, 4:30 p.m.