Triple
T7605701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese carrier Chitose |
E180097
|
entity |
| Predicate | typeAfterConversion |
P71588
|
FINISHED |
| Object | light aircraft carrier |
—
|
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: light aircraft carrier | Statement: [Japanese carrier Chitose, typeAfterConversion, light aircraft carrier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeAfterConversion Context triple: [Japanese carrier Chitose, typeAfterConversion, light aircraft carrier]
-
A.
typeAfterRefit
chosen
Indicates that an entity’s type or classification after undergoing a refit or modification is the specified value.
-
B.
functionAfterConversion
Indicates that one function or behavior occurs as a result of, or is valid only after, a specified conversion has taken place.
-
C.
locationAfterConversion
Indicates the place or position an entity occupies after it has been transformed, converted, or changed from one state or form to another.
-
D.
methodOfConversion
Indicates the specific process or technique used to transform one form, state, or representation into another.
-
E.
allowsConversionTo
Indicates that one entity permits or enables transformation or change into another specified form or state.
- 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_69c69f3567008190ab01d2ca7b53584a |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9fcfcfc8190a29a0b5cd3e8927a |
completed | March 27, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e485f88190910b39da52a955fe |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:54 p.m.