Triple
T36651388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 613 |
E904863
|
entity |
| Predicate | discussesModule |
P75843
|
FINISHED |
| Object | typing |
—
|
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: typing | Statement: [PEP 613, discussesModule, typing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discussesModule Context triple: [PEP 613, discussesModule, typing]
-
A.
discussedAs
chosen
Indicates that one entity is talked about, treated, or examined in terms of another entity, often as an example, case, or framing concept.
-
B.
discussed
Indicates that one entity talked about, examined, or debated a topic, issue, or other entity with someone else.
-
C.
moduleOf
Indicates that one entity functions as a component or sub-unit that belongs to, or is contained within, another larger entity.
-
D.
discourse
Indicates that one entity engages in extended verbal or written communication or discussion with another entity.
-
E.
moduleType
Indicates the classification or category of a module in terms of its functional or structural type.
- 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_69f76e6d3a3c81909db73eda9e0516bd |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:11 p.m.