Triple
T9005886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onizuka Air Force Station |
E215141
|
entity |
| Predicate | namedForPersonNationality |
P36990
|
FINISHED |
| Object | Japanese American |
—
|
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: Japanese American | Statement: [Onizuka Air Force Station, namedForPersonNationality, Japanese American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedForPersonNationality Context triple: [Onizuka Air Force Station, namedForPersonNationality, Japanese American]
-
A.
namedForNationality
Indicates that something is named after or in reference to a particular nationality or national identity.
-
B.
namedForNationalityOfHonouree
chosen
Indicates that something is named in honor of a person, specifically referencing that person's nationality.
-
C.
nationalityOfPersonReferredTo
Indicates that one entity is the country or nationality associated with the person referenced by the other entity.
-
D.
builderNationality
Indicates the country or national affiliation of the entity that built or constructed another entity.
-
E.
ledByNationality
Indicates that an entity (such as an organization, group, or project) is led or headed by a person or group of a specified nationality.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bc6e208190b0c01e3761c04799 |
completed | April 1, 2026, 12:41 a.m. |
| PD | Predicate disambiguation | batch_69cc5edf84408190aa5f57cb8bfd00e1 |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:05 p.m.