Triple
T36720533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 618 |
E907044
|
entity |
| Predicate | affectsVersion |
P23487
|
FINISHED |
| Object | Python 3.10 |
—
|
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: Python 3.10 | Statement: [PEP 618, affectsVersion, Python 3.10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: affectsVersion Context triple: [PEP 618, affectsVersion, Python 3.10]
-
A.
affectsVariant
chosen
Indicates that one entity has an influence or impact on a specific variant or version of another entity.
-
B.
affectsProduct
Indicates that one entity has an influence or impact on the state, quality, or outcome of a product.
-
C.
areAffectedBy
Indicates that one entity experiences an effect, influence, or impact as a result of another entity or event.
-
D.
alsoAffects
Indicates that an action, condition, or change impacting one entity additionally impacts another entity as well.
-
E.
basedOnVersion
Indicates that one entity is derived from, built upon, or created using a specific version of another entity as its basis.
- 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_69f76e746e4c8190a0d05cc6d57a643e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.