Triple
T26484733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaga |
E664789
|
entity |
| Predicate | wasDomainOf |
P79166
|
FINISHED |
| Object | Kaga Domain |
—
|
NE NERFINISHED |
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: Kaga Domain | Statement: [Kaga, wasDomainOf, Kaga Domain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasDomainOf Context triple: [Kaga, wasDomainOf, Kaga Domain]
-
A.
partOfDomain
Indicates that one entity belongs to, is included within, or is a constituent part of the scope or domain defined by another entity.
-
B.
formerDomain
chosen
Indicates that one entity was previously the domain or area of control, influence, or ownership of another entity, but no longer is.
-
C.
indicatesDomain
Indicates a domain or area of knowledge, activity, or applicability to which something (such as a concept, resource, or entity) belongs or is relevant.
-
D.
affectedDomain
Indicates the domain, field, or area that is impacted or influenced by a given action, event, or condition.
-
E.
laterDomain
Indicates that one domain or time interval occurs strictly after another in a temporal ordering.
- 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f612fe5494819094d4efbeefd82049 |
completed | May 2, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 12:29 a.m.