Triple
T19108822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eulerian trail |
E467732
|
entity |
| Predicate | edgeMultiplicity |
P134437
|
FINISHED |
| Object | each edge appears at most once 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: each edge appears at most once in the trail | Statement: [Eulerian trail, edgeMultiplicity, each edge appears at most once in the trail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: edgeMultiplicity Context triple: [Eulerian trail, edgeMultiplicity, each edge appears at most once in the trail]
-
A.
hasEdgeConnectivity
Indicates that there exists a connection or link (such as a graph edge or network link) between two entities.
-
B.
edgeType
Indicates the specific kind or category of connection that exists between two related entities.
-
C.
hasEdgeCount
Indicates that there is a specified number of edges associated with an entity, such as a graph or geometric shape.
-
D.
vertexDegree
Indicates the number of edges incident to a given vertex in a graph.
-
E.
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.
- 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_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. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:04 p.m.