Triple
T26564367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | henry (unit) |
E666335
|
entity |
| Predicate | SIUnitClass |
P160642
|
FINISHED |
| Object | coherent derived unit |
—
|
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: coherent derived unit | Statement: [henry (unit), SIUnitClass, coherent derived unit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SIUnitClass Context triple: [henry (unit), SIUnitClass, coherent derived unit]
-
A.
SIUnit
Indicates that something is expressed or measured using a unit from the International System of Units (SI).
-
B.
SIUnitSymbol
Indicates the standardized symbol used to represent a quantity in the International System of Units (SI).
-
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.
SIName
Indicates that an entity has a specific system or standardized identifier name associated with it.
-
E.
hasSIUnitForConstant
Indicates that a given constant is associated with a specific SI (International System of Units) unit used to express its value.
- 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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6149cc0c88190aadaacfa45a2382e |
completed | May 2, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f6037bf7a081908862a8359be80cf8 |
completed | May 2, 2026, 2 p.m. |
Created at: April 27, 2026, 1:54 a.m.