Triple
T24822288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CGS-EMU system |
E621092
|
entity |
| Predicate | usesCoherentUnit |
P158734
|
FINISHED |
| Object | abampere |
—
|
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: abampere | Statement: [CGS-EMU system, usesCoherentUnit, abampere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCoherentUnit Context triple: [CGS-EMU system, usesCoherentUnit, abampere]
-
A.
isCoherentSIUnit
Indicates that a unit is a valid, internally consistent unit within the International System of Units (SI), derived strictly from SI base units without additional numerical factors.
-
B.
isCoherentWithSI
Indicates that something is consistent and compatible with the International System of Units (SI), adhering to its definitions, conventions, and relationships among units.
-
C.
isNonCoherentWithSI
Indicates that something does not conform to, or is inconsistent with, the specified standard or specification interface (SI).
-
D.
isCoherent
Indicates that the elements of something are logically consistent, well-organized, and fit together in a unified, intelligible way.
-
E.
isCoherentInCGS
Indicates that something maintains internal consistency or logical coherence within the CGS (centimeter–gram–second) unit system.
- 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_69e2fabfd4648190bd0e5c7f4dbb6cab |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f48b9b687881908fd87a2f5fa0b1e7 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f48060597c8190a4414e4e4fcb1fec |
completed | May 1, 2026, 10:28 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 18, 2026, 5:04 a.m.