Triple
T6482370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | newton |
E146424
|
entity |
| Predicate | belongsToPhysicalQuantity |
P71160
|
FINISHED |
| Object | mechanics |
—
|
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: mechanics | Statement: [newton, belongsToPhysicalQuantity, mechanics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToPhysicalQuantity Context triple: [newton, belongsToPhysicalQuantity, mechanics]
-
A.
hasPhysicalMeaning
Indicates that something possesses a well-defined, interpretable significance in terms of physical concepts, quantities, or phenomena.
-
B.
natureOfUnit
Indicates the type or category that characterizes what kind of unit something is (e.g., its nature or classification as a unit).
-
C.
standardUnitRelation
Indicates a relationship where one unit is defined, measured, or interpreted in terms of a recognized standard unit.
-
D.
isQuantumOf
Indicates that one entity represents a discrete, indivisible unit or packet of the other entity in a quantized relationship.
-
E.
hasUnitOf
Indicates that a quantity, measurement, or value is expressed in terms of a specific unit.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a6b2e9881908b715573e7ba7458 |
completed | March 22, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69c0673f6d48819080e10c85155c7195 |
completed | March 22, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69c06822f73081908e6bb9edecbe77a6 |
completed | March 22, 2026, 10:07 p.m. |
Created at: March 22, 2026, 4:51 p.m.