Triple
T34594940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CPython Git repository |
E888282
|
entity |
| Predicate | storesHistoryOf |
P128008
|
FINISHED |
| Object | Python language development |
—
|
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: Python language development | Statement: [CPython Git repository, storesHistoryOf, Python language development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storesHistoryOf Context triple: [CPython Git repository, storesHistoryOf, Python language development]
-
A.
storesHistory
chosen
Indicates that an entity retains or records past states, events, or changes over time related to another entity or process.
-
B.
storageHistory
Indicates the record of how something has been stored over time, including past storage conditions, locations, or states.
-
C.
collectionHistory
Indicates the record of when, how, and from whom an item or set of items was acquired, transferred, or otherwise added to a collection over time.
-
D.
estimatedHistory
Indicates that there is an inferred or approximated record of past states, events, or values associated with an entity or relationship.
-
E.
primaryShowHistory
Indicates that an entity is the main or default subject whose past states, events, or changes are to be displayed in a history view.
- 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_69f349d3bfcc81909874c99e646fb3ea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:03 a.m.