Triple
T6410561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minkowski diagram |
E127693
|
entity |
| Predicate | worldlineDefinition |
P70487
|
FINISHED |
| Object | path of an object through spacetime |
—
|
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: path of an object through spacetime | Statement: [Minkowski diagram, worldlineDefinition, path of an object through spacetime]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worldlineDefinition Context triple: [Minkowski diagram, worldlineDefinition, path of an object through spacetime]
-
A.
worldDefinitionInContext
Indicates that a particular definition of a term or concept is specified as it applies within a given context or situation.
-
B.
worldName
Indicates that an entity has or is associated with a specific world’s name.
-
C.
worldType
Indicates the classification or category of world or environment that an entity is associated with.
-
D.
oneOfWorlds
Indicates that an entity is a member of, or belongs to, a specified set or collection of possible worlds.
-
E.
worldStyle
Indicates the stylistic or aesthetic manner in which a world, setting, or environment is presented or designed.
- 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_69c0083723d88190b1e37b19df162c08 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c068cf81508190bc09e58ec45bc858 |
completed | March 22, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69c060f40ecc8190b1df17b96767675c |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623d23448190a75cf5d802fc0a02 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:41 p.m.