Triple
T36872548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | typing.FrozenSet |
E911259
|
entity |
| Predicate | pepReference |
P96384
|
FINISHED |
| Object | PEP 484 |
—
|
NE NERFINISHED |
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: PEP 484 | Statement: [typing.FrozenSet, pepReference, PEP 484]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pepReference Context triple: [typing.FrozenSet, pepReference, PEP 484]
-
A.
PEPNumber
chosen
Indicates a relationship where an entity is assigned or associated with a specific PEP (Personal/Professional/Project/Policy, etc.) identification number.
-
B.
metaReferenceOf
Indicates that one entity serves as a meta-level reference or description of another entity, rather than being the primary object itself.
-
C.
referenceSectionFor
Indicates a relationship where one resource serves as the reference section or reference material specifically associated with another resource.
-
D.
eraReference
Indicates a temporal relationship where something is associated with, situated in, or characterized by a particular historical era or time period.
-
E.
articleReference
Indicates that one entity cites, mentions, or refers to another entity within an article or written document.
- 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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf7890008190a8bc355ff2d61c86 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.