Triple
T6337604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 重光 葵 |
E142529
|
entity |
| Predicate | 署名場所 |
P18545
|
FINISHED |
| Object | 戦艦ミズーリ号上 |
—
|
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: 戦艦ミズーリ号上 | Statement: [重光 葵, 署名場所, 戦艦ミズーリ号上]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 署名場所 Context triple: [重光 葵, 署名場所, 戦艦ミズーリ号上]
-
A.
signatureLocation
chosen
Indicates the place or position where a signature is written, recorded, or otherwise applied.
-
B.
signatoryOffice
Indicates the office or organizational unit that formally signs or authorizes a document, agreement, or record.
-
C.
signature
Indicates that one entity has provided an official or personal signed endorsement, authorization, or acknowledgment on or for another entity.
-
D.
hasSignFor
Indicates that one entity displays, bears, or provides a sign, symbol, or notice that represents, directs attention to, or gives information about another entity.
-
E.
signatureWork
Indicates that the work is a defining or most representative creation associated with an entity (such as a person, group, or organization).
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0654e11988190b708426d3003716a |
completed | March 22, 2026, 9:55 p.m. |
| PD | Predicate disambiguation | batch_69c060e7e2d48190af9d004236466788 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:30 p.m.