Triple
T15248280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinagawa-juku |
E364443
|
entity |
| Predicate | startStationOrder |
P117766
|
FINISHED |
| Object | first station from Edo on 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: first station from Edo on the Tōkaidō | Statement: [Shinagawa-juku, startStationOrder, first station from Edo on the Tōkaidō]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startStationOrder Context triple: [Shinagawa-juku, startStationOrder, first station from Edo on the Tōkaidō]
-
A.
startingStation
Indicates the station or location where a journey, route, or trip begins.
-
B.
stationNumber
Indicates the specific station identifier or code assigned to an entity within a system or network.
-
C.
stopsAtFewerStationsThan
Indicates that one transit service or route makes stops at a smaller number of stations than another transit service or route.
-
D.
openedAsTransitStation
Indicates that an entity began operation specifically as a transit station at the time it was opened.
-
E.
stationName
Indicates the name assigned to a particular station in the relationship.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f4f9d48190b96a7e0c6993cd69 |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:13 a.m.