Triple
T35446978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 東洋のルソー |
E1024513
|
entity |
| Predicate | refersToPersonPlaceOfBirth |
P1
|
FINISHED |
| Object | 土佐国 |
—
|
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: 土佐国 | Statement: [東洋のルソー, refersToPersonPlaceOfBirth, 土佐国]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToPersonPlaceOfBirth Context triple: [東洋のルソー, refersToPersonPlaceOfBirth, 土佐国]
-
A.
depictsPersonPlaceOfBirth
Indicates that an image or representation shows a person together with the place where they were born.
-
B.
placeOfBirth
chosen
Indicates the location where a person or other entity was born.
-
C.
isBirthplaceRelatedTo
Indicates that there is a relationship between an entity and a birthplace, such as being born there or otherwise closely associated with that place of birth.
-
D.
containsBirthplaceTown
Indicates that one entity includes or specifies the town where another entity was born.
-
E.
refersToPersonBornOn
Indicates that one entity makes reference to, or is associated with, a specific person who was born on a given date.
- 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_69f76df8089481909f0018266ee881b7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe72dca2f08190beff17de3d2aada6 |
completed | May 8, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69fe70bca8d08190b810e1e616ceac44 |
completed | May 8, 2026, 11:24 p.m. |
Created at: May 3, 2026, 4:04 p.m.