Triple
T19108816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eulerian trail |
E467732
|
entity |
| Predicate | graphType |
P96954
|
FINISHED |
| Object | can be defined for undirected graphs |
—
|
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: can be defined for undirected graphs | Statement: [Eulerian trail, graphType, can be defined for undirected graphs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphType Context triple: [Eulerian trail, graphType, can be defined for undirected graphs]
-
A.
chartType
Indicates the specific kind or category of chart used to visually represent data in a given context.
-
B.
graphicsType
Indicates the type or category of graphics associated with or used by an entity.
-
C.
typeOfChart
Indicates the specific kind or category of chart used to represent data in a visualization.
-
D.
diagramType
Indicates the specific kind or category of diagram associated with an entity or context.
-
E.
usesGraphType
chosen
Indicates that one entity employs or is configured to operate with a specific type of graph representation or graph model.
- 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.