Triple
T36720556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 618 |
E907044
|
entity |
| Predicate | defaultValueOf |
P128025
|
FINISHED |
| Object | strict=False |
—
|
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: strict=False | Statement: [PEP 618, defaultValueOf, strict=False]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultValueOf Context triple: [PEP 618, defaultValueOf, strict=False]
-
A.
defaultValue
chosen
Indicates that one entity serves as the pre-assigned or fallback value automatically used for another entity when no explicit value is provided.
-
B.
defaultNameValue
Indicates that an entity is assigned a standard or fallback name value used when no specific name has been provided.
-
C.
hasZeroDefaultValue
Indicates that the associated entity or attribute is defined to have a default value of zero when no explicit value is provided.
-
D.
defaultQValue
Indicates the standard or initial Q-value assigned to a state-action pair before any learning or updates occur in a reinforcement learning process.
-
E.
typicalValueFor
Indicates that one entity represents a standard, representative, or commonly occurring value associated with another entity.
- 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_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:12 p.m.