Triple
T15918563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Szekeres snark |
E386032
|
entity |
| Predicate | edgeChromaticIndex |
P120530
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Szekeres snark, edgeChromaticIndex, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: edgeChromaticIndex Context triple: [Szekeres snark, edgeChromaticIndex, 4]
-
A.
hasChromaticNumberOfPointGraph
Indicates that a specified value is the chromatic number (minimum number of colors needed for a proper vertex coloring) of a given point graph.
-
B.
edgesInMinimalTriangulation
Indicates that the specified edges are exactly those that appear in at least one minimal triangulation (chordal completion with the fewest added edges) of a given graph.
-
C.
hasEdgeCount
Indicates that there is a specified number of edges associated with an entity, such as a graph or geometric shape.
-
D.
minimumDegree
Indicates that the relationship specifies the smallest number of connections or edges incident to any entity within a given structure or set.
-
E.
verticesInMinimalTriangulation
Indicates that the related vertices are exactly those that appear in at least one minimal triangulation of a given graph or structure.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e172b48b308190bc430b2308cbc75b |
completed | April 16, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_69e142cf5c548190a931f7b58144cd31 |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e172b213e481909ee0c05e16229a26 |
completed | April 16, 2026, 11:37 p.m. |
Created at: April 10, 2026, 4:52 a.m.