Triple
T34540328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Python 3.11 |
E886788
|
entity |
| Predicate | stableStatus |
P55170
|
FINISHED |
| Object | stable |
—
|
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: stable | Statement: [Python 3.11, stableStatus, stable]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stableStatus Context triple: [Python 3.11, stableStatus, stable]
-
A.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
B.
stableReleaseStatus
chosen
Indicates the release status or condition of a stable version of something (such as software or a product).
-
C.
statusInSI
Indicates that an entity’s status or condition is specified according to the International System of Units (SI) or an SI-based standard.
-
D.
statusModel
Indicates that an entity is associated with a particular status representation or status-handling model.
-
E.
statusSymbol
Indicates that something serves as a marker or representation of an entity’s social, economic, or cultural standing relative to others.
- 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_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71ff3ae60819089447abe3ff9e784 |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 2:02 a.m.