Triple
T31816665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Types of Men |
E812153
|
entity |
| Predicate | classifiesAsType |
P34022
|
FINISHED |
| Object | theoretical type |
—
|
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: theoretical type | Statement: [Types of Men, classifiesAsType, theoretical type]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classifiesAsType Context triple: [Types of Men, classifiesAsType, theoretical type]
-
A.
isClassOf
Indicates that one entity is a class or category to which another entity belongs or is an instance of.
-
B.
fulfillsTypeOf
Indicates that one entity satisfies or conforms to a specified type, category, or classification defined by another entity.
-
C.
canBeTypeOf
Indicates that one entity is capable of serving as, or being classified as, a particular type or category of another entity.
-
D.
typeOf
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
-
E.
definesClassification
chosen
Indicates that one entity specifies or establishes the classification or category to which another entity belongs.
- 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_69f348e846c081908eb468a0665afd55 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 30, 2026, 11:44 p.m.