Triple
T19108815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eulerian trail |
E467732
|
entity |
| Predicate | differenceFromHamiltonianPath |
P134435
|
FINISHED |
| Object | covers edges instead of vertices |
—
|
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: covers edges instead of vertices | Statement: [Eulerian trail, differenceFromHamiltonianPath, covers edges instead of vertices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceFromHamiltonianPath Context triple: [Eulerian trail, differenceFromHamiltonianPath, covers edges instead of vertices]
-
A.
numberOfPaths
Indicates the count of distinct paths or routes that exist between specified points or within a given structure.
-
B.
differenceFromStates
Indicates that one state or condition is distinct from, or deviates in some way from, another state or condition.
-
C.
pointDifference
Indicates the numerical difference in points or scores between two compared entities.
-
D.
numberOfDistances
Indicates the count of distinct distance values associated with or measured between entities in a given context.
-
E.
pathDifferenceBetweenAdjacentZones
Indicates the difference in path length or distance between two neighboring or directly adjacent zones.
- 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.