Triple
T22851710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 和人 |
E566370
|
entity |
| Predicate | 関連する古代国家 |
P23483
|
FINISHED |
| Object | 倭国 |
—
|
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: 倭国 | Statement: [和人, 関連する古代国家, 倭国]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 関連する古代国家 Context triple: [和人, 関連する古代国家, 倭国]
-
A.
ancientStates
chosen
Indicates that the related entity functioned as a state or political entity in ancient times.
-
B.
associatedWithAncientEmpire
Indicates that one entity has a historical, cultural, political, or geographic connection or affiliation with an ancient empire.
-
C.
関連国境
Indicates a relationship where something is associated with, concerns, or pertains to a national border.
-
D.
historicallyAssociatedWithModernCountry
Indicates that an entity has a significant historical connection, influence, or origin related to a specified modern country.
-
E.
countryDuringAntiquity
Indicates that an entity functioned as a country or political territory specifically during the historical period of antiquity.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17eb9a5b8819091cbb4ac42fbf778 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d507c08190895ed971af0fc755 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 17, 2026, 3:36 p.m.