Triple
T1470693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newton's first law of motion |
E27127
|
entity |
| Predicate | validUnderCondition |
P9768
|
FINISHED |
| Object | non-relativistic speeds |
—
|
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: non-relativistic speeds | Statement: [Newton's first law of motion, validUnderCondition, non-relativistic speeds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: validUnderCondition Context triple: [Newton's first law of motion, validUnderCondition, non-relativistic speeds]
-
A.
authorizationCondition
Indicates the specific rules or requirements that must be satisfied for an action or access to be legally or formally authorized.
-
B.
hasCondition
Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
-
C.
holdsUnder
Indicates that one entity maintains possession, control, or validity of another entity subject to certain conditions, constraints, or a specific context.
-
D.
validIn
chosen
Indicates that a given entity, statement, or condition is applicable, correct, or legally/semantically acceptable within a specified context, scope, or domain.
-
E.
presentCondition
Indicates that an entity currently has or exhibits a particular state, situation, or condition.
- F. None of above.
Provenance (3 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5d9dd4c8190ba840a9255cd1293 |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48350d88190a81bd149103f93e3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:01 p.m.