Triple
T19108823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eulerian trail |
E467732
|
entity |
| Predicate | vertexMultiplicity |
P69290
|
FINISHED |
| Object | vertices may appear multiple times in the trail |
—
|
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: vertices may appear multiple times in the trail | Statement: [Eulerian trail, vertexMultiplicity, vertices may appear multiple times in the trail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: vertexMultiplicity Context triple: [Eulerian trail, vertexMultiplicity, vertices may appear multiple times in the trail]
-
A.
vertexDegree
Indicates the number of edges incident to a given vertex in a graph.
-
B.
vertexCount
Indicates the number of vertices associated with a given geometric or graph-based entity.
-
C.
multiplicity
chosen
Indicates the number of instances of one entity that can or must be associated with a single instance of another entity within a relationship.
-
D.
edgeChromaticIndex
Indicates the minimum number of colors needed to color the edges of a graph so that no two adjacent edges share the same color.
-
E.
minimumDegree
Indicates that the relationship specifies the smallest number of connections or edges incident to any entity within a given structure or set.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e391f00c8190881a5977dd3728ed |
completed | April 20, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:04 p.m.