Triple
T1463334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lorentz contraction |
E31562
|
entity |
| Predicate | frameDependent |
P28834
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Lorentz contraction, frameDependent, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: frameDependent Context triple: [Lorentz contraction, frameDependent, yes]
-
A.
frameType
Indicates the specific structural or categorical kind of frame associated with an entity or relation.
-
B.
frameworkPresented
Indicates that a particular framework has been formally introduced or shown to an audience or recipient.
-
C.
frameDevice
Indicates that one entity serves as a structural or supporting frame for another device or object.
-
D.
frontAffected
Indicates that an action, event, or condition primarily impacts the front side or front-facing part of an entity.
-
E.
dimensionDependentProperties
Indicates that certain properties or characteristics of an entity vary as a function of its dimensional attributes (such as size, length, or number of dimensions).
- 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_69a49917dfc081909acdbdf5d684f1ef |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5b89708819084fb9ba4ff293b8b |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48121e48190946c23c583e5fb64 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c55508948190922aee3230a4323e |
completed | March 1, 2026, 11:01 p.m. |
Created at: March 1, 2026, 8 p.m.