Triple
T26992514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3-SAT |
E679892
|
entity |
| Predicate | averageCaseStudy |
P2398
|
FINISHED |
| Object | phase transition in satisfiability around critical clause-to-variable ratios |
—
|
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: phase transition in satisfiability around critical clause-to-variable ratios | Statement: [3-SAT, averageCaseStudy, phase transition in satisfiability around critical clause-to-variable ratios]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageCaseStudy Context triple: [3-SAT, averageCaseStudy, phase transition in satisfiability around critical clause-to-variable ratios]
-
A.
caseStudyNumber
Indicates the identifying number assigned to a specific case study within a collection or series.
-
B.
hasCaseStudy
chosen
Indicates that one entity is documented, illustrated, or analyzed by a specific case study associated with it.
-
C.
mainCase
Indicates that one case is the primary or central case associated with an entity or context, distinguishing it from other related cases.
-
D.
baseCaseDescription
Indicates that something provides the fundamental or simplest explanatory case used as the starting point in a definition, process, or reasoning chain.
-
E.
centralExample
Indicates that one entity serves as the primary or most representative example of another entity or concept.
- 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_69eeeb5138ac8190b3c273ddc659a54f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 6:52 a.m.