Triple
T26966668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BPP |
E679189
|
entity |
| Predicate | oracleModel |
P62670
|
FINISHED |
| Object | BPP^BPP = BPP |
—
|
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: BPP^BPP = BPP | Statement: [BPP, oracleModel, BPP^BPP = BPP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oracleModel Context triple: [BPP, oracleModel, BPP^BPP = BPP]
-
A.
namespaceModel
Indicates a relationship where a model is defined within, or associated with, a particular namespace or logical grouping.
-
B.
ORM
Indicates a relationship where one entity is responsible for managing, representing, or mediating access to another entity, often abstracting underlying details or complexity.
-
C.
oracleFrom
chosen
Indicates that one entity serves as a source of authoritative or divinatory information for another entity.
-
D.
dataModel
Indicates a relationship where an entity defines, uses, or is structured according to a specific data model or schema.
-
E.
modelIn
Indicates that one entity serves as a representation or simulation of another entity.
- 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_69eeeb4f3a448190b1e94b2d4776c16e |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f621210b788190ab9e910cd635f366 |
completed | May 2, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:36 a.m.