Triple
T321543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USB Type-B |
E6424
|
entity |
| Predicate | mechanicalKeying |
P11991
|
FINISHED |
| Object | polarized to prevent incorrect insertion |
—
|
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: polarized to prevent incorrect insertion | Statement: [USB Type-B, mechanicalKeying, polarized to prevent incorrect insertion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mechanicalKeying Context triple: [USB Type-B, mechanicalKeying, polarized to prevent incorrect insertion]
-
A.
key
Indicates that one entity functions as a key (literal or metaphorical) that unlocks, enables access to, or provides a crucial solution or control over another entity.
-
B.
keyComponent
Indicates that one entity is an essential or foundational part required for the proper function, structure, or identity of another entity.
-
C.
hasMechanism
Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
-
D.
definesMechanism
Indicates that one entity specifies or explains the underlying process or mechanism by which another entity operates or occurs.
-
E.
isMechanicalOrElectronic
Indicates that something operates using mechanical components, electronic components, or a combination of both.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea81a1e88190b3496070eb3d85f5 |
completed | Feb. 28, 2026, 1:15 p.m. |
| PD | Predicate disambiguation | batch_69a2e948048c819098ba4de9261ef2ef |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea08878c8190a5e8a90f620a3888 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.