Triple
T22440688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 宮中晩餐会 |
E554746
|
entity |
| Predicate | 伴う行為 |
P121417
|
FINISHED |
| Object | 天皇の挨拶 |
—
|
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: 天皇の挨拶 | Statement: [宮中晩餐会, 伴う行為, 天皇の挨拶]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 伴う行為 Context triple: [宮中晩餐会, 伴う行為, 天皇の挨拶]
-
A.
usuallyAccompaniedBy
Indicates that one entity is commonly or habitually found together with, or occurs in the presence of, another entity.
-
B.
actedTogetherWith
Indicates that two entities participated in the same performance or production, collaborating or appearing together in an acting context.
-
C.
oftenAccompaniedBy
Indicates that one entity is frequently found together with, occurs alongside, or is commonly associated in presence or use with another entity.
-
D.
associated act
chosen
Indicates a relationship where one act is connected or linked to another act, typically as a related or accompanying action.
-
E.
mayBeAccompaniedBy
Indicates that one entity can optionally be present together with or alongside another entity.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ae1f82881908a611f134eb03f3d |
completed | April 29, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69e898a327948190beee5e168006a0a7 |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:47 p.m.