Triple
T37616110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujisawa-juku |
E935924
|
entity |
| Predicate | depictedInSeries |
P26455
|
FINISHED |
| Object | The Fifty-three Stations of the Tōkaidō (Hiroshige) |
—
|
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: The Fifty-three Stations of the Tōkaidō (Hiroshige) | Statement: [Fujisawa-juku, depictedInSeries, The Fifty-three Stations of the Tōkaidō (Hiroshige)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictedInSeries Context triple: [Fujisawa-juku, depictedInSeries, The Fifty-three Stations of the Tōkaidō (Hiroshige)]
-
A.
depictedInSeason
Indicates that something (such as a character, event, or object) appears or is shown within a particular season of a series or show.
-
B.
appearsInSeries
chosen
Indicates that an entity is featured or occurs within a particular series.
-
C.
appearsInSeriesBy
Indicates that one entity (such as a work or character) is featured within a series that is created, authored, or produced by another entity.
-
D.
appearedInEpisodeOf
Indicates that one entity made an appearance in a specific episode belonging to a television or radio series associated with the other entity.
-
E.
televisionShowDepicted
Indicates that one entity is a television show in which the other entity is portrayed, represented, or appears.
- 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_69f76ed16b748190ad6add183b1be688 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: May 3, 2026, 4:18 p.m.