Triple
T28105685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doraemon |
E710354
|
entity |
| Predicate | isCulturalIconIn |
P43625
|
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: [Doraemon, isCulturalIconIn, Japan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCulturalIconIn Context triple: [Doraemon, isCulturalIconIn, Japan]
-
A.
hasCulturalIcon
Indicates that an entity is associated with or possesses a person, symbol, or object widely recognized as a significant representation of a particular culture.
-
B.
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.
-
C.
isIconicIn
chosen
Indicates that something is widely recognized as a defining or emblematic example within a particular context, domain, or location.
-
D.
namedForCulturalFigure
Indicates that one entity is named in honor of, or derived from the name of, a notable cultural figure.
-
E.
notableCulturalFigure
Indicates that a person holds significant influence or recognition within a culture’s arts, traditions, values, or public life.
- 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f64095680c8190a220f9345db8688d |
completed | May 2, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 9:08 p.m.