Triple
T36151381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kruskal’s minimum spanning tree algorithm |
E1045593
|
entity |
| Predicate | edgeSelectionOrder |
P24478
|
FINISHED |
| Object | global order by weight |
—
|
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: global order by weight | Statement: [Kruskal’s minimum spanning tree algorithm, edgeSelectionOrder, global order by weight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: edgeSelectionOrder Context triple: [Kruskal’s minimum spanning tree algorithm, edgeSelectionOrder, global order by weight]
-
A.
selectionOrderAdjustment
Indicates a modification to the original order in which items or options were selected, such as reordering or adjusting their selection sequence.
-
B.
selectionOrderInfluencedBy
chosen
Indicates that the order in which items are selected is affected or determined by another factor, condition, or entity.
-
C.
entrySelectionMethod
Indicates the method or criteria used to select or admit an entity into a particular group, system, or context.
-
D.
selectionBehavior
Indicates how choices are expected to be made among a set of related options, such as whether items are selected individually, in combination, or exclusively.
-
E.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
- 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.