Triple
T26966683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BPP |
E679189
|
entity |
| Predicate | typicalResource |
P199363
|
FINISHED |
| Object | polynomial number of random bits |
—
|
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: polynomial number of random bits | Statement: [BPP, typicalResource, polynomial number of random bits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalResource Context triple: [BPP, typicalResource, polynomial number of random bits]
-
A.
primaryResourceType
Indicates the main or predominant type/category of resource associated with an entity or activity.
-
B.
traditionalResource
Indicates that one entity is a resource or practice that has been passed down through tradition and is recognized as part of a longstanding cultural or customary system used by another entity.
-
C.
typicalItem
Indicates that an item is a representative or characteristic example of a broader category, class, or set.
-
D.
coveredResource
Indicates that one entity serves as a resource that is included within the scope or protection of another entity (such as a policy, agreement, or coverage).
-
E.
typicalCoreType
Indicates that something is a standard or characteristic core type within a given classification or system.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69ff32b88bf48190b45afd1b60cb511c |
completed | May 9, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69ff3031e18881908927b2ab452de863 |
completed | May 9, 2026, 1:01 p.m. |
| PDg | Predicate description generation | batch_69ff32b6dd448190a7a6ebb76b99d4cc |
completed | May 9, 2026, 1:12 p.m. |
Created at: April 27, 2026, 6:36 a.m.