Triple
T28346977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsugaru Peninsula |
E717979
|
entity |
| Predicate | hasCulturalWorkAbout |
P12881
|
FINISHED |
| Object | Tsugaru (essay by Osamu Dazai) |
—
|
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: Tsugaru (essay by Osamu Dazai) | Statement: [Tsugaru Peninsula, hasCulturalWorkAbout, Tsugaru (essay by Osamu Dazai)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCulturalWorkAbout Context triple: [Tsugaru Peninsula, hasCulturalWorkAbout, Tsugaru (essay by Osamu Dazai)]
-
A.
hasCulturalProject
Indicates that an entity is associated with, responsible for, or involved in a cultural project or initiative.
-
B.
hasCulturalExpression
Indicates that an entity embodies, manifests, or is associated with a particular cultural form, practice, or expression.
-
C.
hasCulturalProduct
chosen
Indicates that an entity possesses, produces, or is associated with a cultural artifact, work, or output (such as art, literature, music, or media).
-
D.
hasCulturalActor
Indicates that an entity is associated with or involves a specific cultural actor (such as an artist, performer, or cultural practitioner) in a cultural context.
-
E.
culturalWorkCreatedThere
Indicates that a cultural work (such as a book, film, artwork, or performance) was created, produced, or originated at a particular place.
- 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_69eff6eb30388190b898b96c4be6f49d |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 28, 2026, 12:43 a.m.