Triple
T5570720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermat point |
E146192
|
entity |
| Predicate | trilinearCoordinates |
P2054
|
FINISHED |
| Object | csc(A+π/3) : csc(B+π/3) : csc(C+π/3) |
—
|
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: csc(A+π/3) : csc(B+π/3) : csc(C+π/3) | Statement: [Fermat point, trilinearCoordinates, csc(A+π/3) : csc(B+π/3) : csc(C+π/3)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trilinearCoordinates Context triple: [Fermat point, trilinearCoordinates, csc(A+π/3) : csc(B+π/3) : csc(C+π/3)]
-
A.
cornerOfTriangle
Indicates that the subject is a vertex (corner point) belonging to a specific triangle.
-
B.
coordinates
Indicates that one entity organizes, directs, or harmonizes the actions or efforts of another entity or group to achieve a unified outcome.
-
C.
coordinateSystem
chosen
Indicates that one entity defines or uses a particular spatial or reference coordinate system in relation to another entity.
-
D.
hasTripoint
Indicates that three distinct regions, areas, or entities meet or share a common boundary point.
-
E.
hasTriangle
Indicates that an entity possesses, contains, or is associated with a triangle.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020502a288190af37f9ebb88fccae |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b12826c8190969a584d0f53aa44 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:37 p.m.