Triple
T19717671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 日本国际奖 |
E473520
|
entity |
| Predicate | 设立背景 |
P130309
|
FINISHED |
| Object | 提升日本在国际科学技术界的贡献与形象 |
—
|
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: 提升日本在国际科学技术界的贡献与形象 | Statement: [日本国际奖, 设立背景, 提升日本在国际科学技术界的贡献与形象]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 设立背景 Context triple: [日本国际奖, 设立背景, 提升日本在国际科学技术界的贡献与形象]
-
A.
hasCauseOfEstablishment
chosen
Indicates that an entity was established or founded as a result of a specified cause, reason, or initiating circumstance.
-
B.
establishedAt
Indicates the specific time or date at which something (such as an organization, system, or entity) was founded or brought into existence.
-
C.
organizationFounded
Indicates that an organization was established or created at a specific point in time, often by a particular founder or founding entity.
-
D.
設置国立大学
Indicates establishing or designating a university as a national (state-run) university.
-
E.
foundedOnOccasionOf
Indicates that something was established or created specifically in response to, or to mark, a particular event or occasion.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6440ec9e881909b75c0ebefab827f |
completed | April 20, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.