Triple
T32213845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cecil |
E822875
|
entity |
| Predicate | isDynamicallyTyped |
P173846
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Cecil, isDynamicallyTyped, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isDynamicallyTyped Context triple: [Cecil, isDynamicallyTyped, true]
-
A.
isStronglyTyped
Indicates that a programming language or system enforces strict type rules, preventing implicit or unsafe type conversions between values.
-
B.
isPartOfDynamically
Indicates that one entity is currently a component or member of another entity in a way that can change over time or at runtime.
-
C.
hasDynamicalClass
Indicates that an entity belongs to a specific category defined by its dynamical or motion-related behavior (e.g., orbital or kinematic characteristics).
-
D.
hasDictionaryType
Indicates that something is associated with or classified under a specific dictionary-defined type or category.
-
E.
isWeakType
Indicates that one type is considered a weaker or less strict variant of another type within a type system or hierarchy.
- F. None of above. chosen
Provenance (4 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_69f3490a3bec819097bc58d4731b9d08 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bb94ce188190b3196b0cc902b051 |
completed | May 3, 2026, 3:05 a.m. |
| PD | Predicate disambiguation | batch_69f6b6293188819080d5041ca0adb969 |
completed | May 3, 2026, 2:42 a.m. |
| PDg | Predicate description generation | batch_69f6b960ca4081909a77690c2b122f5e |
completed | May 3, 2026, 2:56 a.m. |
Created at: May 1, 2026, 12:37 a.m.