Triple
T22533572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ガーター勲章 |
E557101
|
entity |
| Predicate | 受章者特典 |
P148553
|
FINISHED |
| Object | セント・ジョージ礼拝堂内に紋章旗を掲げる権利 |
—
|
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: セント・ジョージ礼拝堂内に紋章旗を掲げる権利 | Statement: [ガーター勲章, 受章者特典, セント・ジョージ礼拝堂内に紋章旗を掲げる権利]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 受章者特典 Context triple: [ガーター勲章, 受章者特典, セント・ジョージ礼拝堂内に紋章旗を掲げる権利]
-
A.
specialEdition
Indicates that an item is a distinct, limited, or enhanced version of a standard release, often with unique features, packaging, or content.
-
B.
isSpecialAwardOf
Indicates that an award is a distinctive or exceptional honor specifically given to a particular entity (such as a person, work, or organization).
-
C.
grantedAsRewardFor
Indicates that something is given to an entity specifically as a reward for a particular action, achievement, or service.
-
D.
授与される勲章
Indicates the relationship in which a medal or decoration is conferred or awarded to someone.
-
E.
sampleChapterReadAtConvention
Indicates that a sample chapter was read aloud or presented during a convention event.
- F. None of above. chosen
Provenance (4 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed88cf08190ae7e5b6bf9a80372 |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa3b4c288190951cca06d42bea51 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:51 p.m.