Triple
T38590911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Au Ra |
E932449
|
entity |
| Predicate | canBeClass |
P14124
|
FINISHED |
| Object | any combat class |
—
|
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: any combat class | Statement: [Au Ra, canBeClass, any combat class]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeClass Context triple: [Au Ra, canBeClass, any combat class]
-
A.
canBeTypeOf
chosen
Indicates that one entity is capable of serving as, or being classified as, a particular type or category of another entity.
-
B.
isClass
Indicates that an entity functions as a class or type definition within a classification or type system.
-
C.
isClassOf
Indicates that one entity is a class or category to which another entity belongs or is an instance of.
-
D.
canBeDefinedFor
Indicates that a certain concept, operation, or property is applicable to and can be meaningfully specified for a given entity or set of entities.
-
E.
usesClass
Indicates that one entity makes use of, depends on, or is implemented using a particular class in its structure or behavior.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffbb1c5bf88190a0bf791213045885 |
completed | May 9, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69ffba0ab0f881908f84ef81f7a1bfe8 |
completed | May 9, 2026, 10:49 p.m. |
Created at: May 3, 2026, 4:32 p.m.