Triple
T6482384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | newton |
E146424
|
entity |
| Predicate | standardGravityWeightOf1kg |
P71165
|
FINISHED |
| Object | approximately 9.81 N |
—
|
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: approximately 9.81 N | Statement: [newton, standardGravityWeightOf1kg, approximately 9.81 N]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardGravityWeightOf1kg Context triple: [newton, standardGravityWeightOf1kg, approximately 9.81 N]
-
A.
hasMass_kg
Indicates that an entity possesses a specific mass measured in kilograms.
-
B.
وزن
Indicates a relationship where one entity has, measures, or is characterized by a certain weight or mass.
-
C.
emptyWeight
Indicates the weight of an object or vehicle when it is empty, excluding any load, cargo, or passengers.
-
D.
massRelativeToEarth
Indicates the comparative amount of mass an entity has relative to the mass of Earth.
-
E.
weightStandardInfluencedBy
Indicates that a weight standard is affected, shaped, or determined by another factor, standard, or influence.
- 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.