Triple
T14506401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penrose triangle |
E340274
|
entity |
| Predicate | hasEdgeCount |
P114495
|
FINISHED |
| Object | 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: 3 | Statement: [Penrose triangle, hasEdgeCount, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEdgeCount Context triple: [Penrose triangle, hasEdgeCount, 3]
-
A.
hasEdge
Indicates that there exists a direct connection or link (an edge) between two entities in a graph or network.
-
B.
hasJunctionCount
Indicates the number of junctions associated with or contained in a given entity.
-
C.
junctionCountApprox
Indicates an approximate count of junctions or connection points involved in or associated with the given entities.
-
D.
hasCornerCount
Indicates that an entity is associated with a specific number of corners.
-
E.
hasNumberOfTriangles
Indicates that an entity is associated with a specific count of triangles it contains or involves.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de94e25a2481908b8394e9a19f3b64 |
completed | April 14, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:21 a.m.