Triple
T9456361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | oersted |
E228023
|
entity |
| Predicate | isNonCoherentWithSI |
P88271
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [oersted, isNonCoherentWithSI, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonCoherentWithSI Context triple: [oersted, isNonCoherentWithSI, true]
-
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.
hasNonSIUnitRelation
Indicates a relationship where one entity is associated with another through a measurement or quantity expressed in a non–SI (non–International System of Units) unit.
-
C.
isOfficialSystemOfUnitsFor
Indicates that one system of units is formally recognized or designated as the standard measurement system for a particular domain, region, or context.
-
D.
isExactInSI
Indicates that a quantity or value is defined as an exact, non-approximate value within the International System of Units (SI).
-
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_69ca843b123881909b0e60028475d12d |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f8f7e1481909318e473ab4d6460 |
completed | April 1, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69cca5596ffc819097e9c8eefd4ef9b8 |
completed | April 1, 2026, 4:55 a.m. |
| PDg | Predicate description generation | batch_69cca89d0f0c8190b4528990fe708fca |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 7:52 p.m.