Triple
T7150161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galilean transformations |
E166671
|
entity |
| Predicate | doesNotPreserve |
P4300
|
FINISHED |
| Object | spacetime interval of special relativity |
—
|
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: spacetime interval of special relativity | Statement: [Galilean transformations, doesNotPreserve, spacetime interval of special relativity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotPreserve Context triple: [Galilean transformations, doesNotPreserve, spacetime interval of special relativity]
-
A.
doesNotAbolish
Indicates that one entity, action, or law does not eliminate, revoke, or put an end to another.
-
B.
doesNotReplace
Indicates that one entity does not take over, substitute for, or serve as a replacement for another entity in a given context.
-
C.
doesNotChange
Indicates that one entity remains unaffected or unaltered by another entity or action.
-
D.
doesNotProtect
Indicates that an entity fails to provide protection or safeguarding to another entity or object.
-
E.
doesNot
chosen
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
- 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_69c68886779c8190a8e3fbabffe68253 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e7f28b188190b1732ca711666531 |
completed | March 27, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69c6e1caf4e48190b47bb398a3c1554d |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:46 p.m.