Triple
T15130858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japan Academy |
E361413
|
entity |
| Predicate | typeOfAwardingBody |
P1497
|
FINISHED |
| Object | national academy |
—
|
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: national academy | Statement: [Japan Academy, typeOfAwardingBody, national academy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAwardingBody Context triple: [Japan Academy, typeOfAwardingBody, national academy]
-
A.
hasAwardingBodyType
chosen
Indicates that an entity has an associated type or category describing the kind of organization or body that grants an award.
-
B.
awardingBodyField
Indicates the organization or authority that grants or confers a particular award, qualification, or certification in the described relationship.
-
C.
locationOfAwardingBody
Indicates the place or venue where the awarding body confers or grants an award.
-
D.
awardingBodyDomain
Indicates that an entity functions as the domain or field of specialization in which an awarding body grants qualifications, certifications, or awards.
-
E.
languageOfAwardingBodies
Indicates the language or languages used by the organizations or institutions that grant the awards.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b194748190801e3956bf2429d4 |
completed | April 15, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69deb9713fe881909dec2fd3f6c84b39 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:06 a.m.