Triple
T6410560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minkowski diagram |
E127693
|
entity |
| Predicate | lightWorldlines |
P7235
|
FINISHED |
| Object | 45-degree lines in ct-x coordinates |
—
|
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: 45-degree lines in ct-x coordinates | Statement: [Minkowski diagram, lightWorldlines, 45-degree lines in ct-x coordinates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightWorldlines Context triple: [Minkowski diagram, lightWorldlines, 45-degree lines in ct-x coordinates]
-
A.
lightPath
chosen
Indicates the route or trajectory that light follows as it travels between entities or through a medium.
-
B.
litOn
Indicates that one entity is illuminated or activated by a light source associated with another entity.
-
C.
lightSourceFor
Indicates that one entity serves as the source of illumination for another entity.
-
D.
lightSourceGeneration
Indicates that an entity produces or emits light, serving as a source of illumination for other entities or the environment.
-
E.
lightRange
Indicates the distance or area over which a light source effectively emits or illuminates.
- 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_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. |
Created at: March 22, 2026, 4:41 p.m.