Triple
T37764200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Numazu-juku |
E941367
|
entity |
| Predicate | neighboringPostTownOnTōkaidō |
P189202
|
FINISHED |
| Object | Mishima-juku |
—
|
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: Mishima-juku | Statement: [Numazu-juku, neighboringPostTownOnTōkaidō, Mishima-juku]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neighboringPostTownOnTōkaidō Context triple: [Numazu-juku, neighboringPostTownOnTōkaidō, Mishima-juku]
-
A.
adjacentStationOnTokaidoMainLine
Indicates that one station is directly next to another station along the Tokaido Main Line, with no other stations in between.
-
B.
adjacentStationOnTokaidoShinkansen
Indicates that one station is directly next to another along the Tokaido Shinkansen line, with no other station in between.
-
C.
sequenceOnTōkaidō
Indicates that one entity occurs at a specific position or order along the Tōkaidō route or sequence.
-
D.
adjacentStationOnSaninMainLine
Indicates that one station is directly next to another station along the Sanin Main Line, with no other stations in between.
-
E.
adjacentStationOnAkitaShinkansen
Indicates that one station is directly next to another station along the Akita Shinkansen line, with no other stations in between.
- F. None of above. chosen
Provenance (4 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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbb9e69b7481909beaf8264d87c5e5 |
completed | May 6, 2026, 10 p.m. |
Created at: May 3, 2026, 4:19 p.m.