Triple
T37831495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōtsu-juku |
E943214
|
entity |
| Predicate | positionOnTōkaidō |
P146696
|
FINISHED |
| Object | 53rd station of the 53 Stations of the Tōkaidō |
—
|
LITERAL FINISHED |
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: 53rd station of the 53 Stations of the Tōkaidō | Statement: [Ōtsu-juku, positionOnTōkaidō, 53rd station of the 53 Stations of the Tōkaidō]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnTōkaidō Context triple: [Ōtsu-juku, positionOnTōkaidō, 53rd station of the 53 Stations of the Tōkaidō]
-
A.
sequenceOnTōkaidō
chosen
Indicates that one entity occurs at a specific position or order along the Tōkaidō route or sequence.
-
B.
positionInShikokuPilgrimage
Indicates the specific sequential position an entity holds along the route of the Shikoku pilgrimage.
-
C.
neighboringPostTownOnTōkaidō
Indicates that two post towns are directly adjacent to each other along the historical Tōkaidō route.
-
D.
distinctionFromTōkaidō
Indicates that one entity is explicitly distinguished from, and not to be confused with, the Tōkaidō.
-
E.
positionInJapanese
Indicates that one entity occupies a specific position or rank within a Japanese ordering, sequence, or structure.
- 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_69f76eea4c8c8190a335aed5955cf2db |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fff09dae088190bd8460060d778feb |
completed | May 10, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69fff0027c5c8190baa5c7a15852cbe0 |
completed | May 10, 2026, 2:40 a.m. |
Created at: May 3, 2026, 4:19 p.m.