Triple
T24936175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kani Doraku Co., Ltd. |
E623318
|
entity |
| Predicate | flagshipCountry |
P157258
|
FINISHED |
| Object | Japan |
—
|
NE NERFINISHED |
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: Japan | Statement: [Kani Doraku Co., Ltd., flagshipCountry, Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagshipCountry Context triple: [Kani Doraku Co., Ltd., flagshipCountry, Japan]
-
A.
countryOfFlag
Indicates that a given country is the one represented by a specified flag.
-
B.
flagshipFor
Indicates that one entity serves as the primary or leading representative example for another entity, often embodying its most important qualities or status.
-
C.
capitalCountry
Indicates that one place serves as the capital city of a given country.
-
D.
nationalFlag
Indicates that one entity is the official national flag representing the other entity (a country or nation).
-
E.
flagshipAt
Indicates that a particular entity serves as the primary or leading representative (flagship) of something at or for a specified location, organization, or context.
- 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_69e2fac6b5a48190a1c38857f00915a9 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f423d5a0f48190b4df532471cd37d1 |
completed | May 1, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69f4210130d08190ae30b7943f7a0bbc |
completed | May 1, 2026, 3:41 a.m. |
| PDg | Predicate description generation | batch_69f423637bec8190a1701421ac86a3b7 |
completed | May 1, 2026, 3:52 a.m. |
Created at: April 18, 2026, 5:30 a.m.