Triple
T20627335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darboux theorem |
E506852
|
entity |
| Predicate | coordinateName |
P140826
|
FINISHED |
| Object | Darboux 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: Darboux coordinates | Statement: [Darboux theorem, coordinateName, Darboux coordinates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coordinateName Context triple: [Darboux theorem, coordinateName, Darboux coordinates]
-
A.
coordinateTerm
Indicates that two terms are coordinate concepts at the same hierarchical level, typically sharing a common broader category without one being subordinate to the other.
-
B.
coordinateAxisName
Indicates the specific named axis (e.g., X, Y, Z or similar) along which a coordinate or measurement is defined in a coordinate system.
-
C.
coordinateOn
Indicates that two or more entities work together to organize, align, or manage a shared activity, process, or objective.
-
D.
coordinateSymbols
Indicates a relationship where one symbol is aligned or matched with another symbol in a coordinated or corresponding way.
-
E.
coordinateComponent
Indicates that one entity is a component or part of a larger coordinated structure or system involving the other entity.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe645888190b639ebedc5b3041a |
completed | April 20, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69e5a00c43308190b7ea58d559257e07 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:42 a.m.