Triple
T23624757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lipton–Tarjan separator theorem |
E583430
|
entity |
| Predicate | algorithmicAspect |
P79475
|
FINISHED |
| Object | separator can be found in linear time for planar 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: separator can be found in linear time for planar graphs | Statement: [Lipton–Tarjan separator theorem, algorithmicAspect, separator can be found in linear time for planar graphs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: algorithmicAspect Context triple: [Lipton–Tarjan separator theorem, algorithmicAspect, separator can be found in linear time for planar graphs]
-
A.
algorithmicProperty
chosen
Indicates that a subject possesses a specific characteristic, behavior, or quality defined in terms of an algorithm or computational procedure.
-
B.
relatedAlgorithm
Indicates that one algorithm has a meaningful connection or association with another algorithm, such as similarity, dependency, or complementary function.
-
C.
symbolicAspect
Indicates that one entity functions as a symbol or emblem that represents, expresses, or conveys a particular meaning, quality, or concept of another entity.
-
D.
algorithmType
Indicates the specific kind or category of algorithm associated with an entity or process.
-
E.
evaluationAspect
Indicates the specific dimension or criterion of performance or quality that is being assessed within an evaluation.
- 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_69e248fc8d74819091bd5baef2f36f6f |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b17be6288190a409df700c1003bd |
completed | April 29, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:46 p.m.