Triple
T7533885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiroshima Airport |
E178097
|
entity |
| Predicate | nearestShinkansenStation |
P77672
|
FINISHED |
| Object | Mihara Station |
—
|
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: Mihara Station | Statement: [Hiroshima Airport, nearestShinkansenStation, Mihara Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestShinkansenStation Context triple: [Hiroshima Airport, nearestShinkansenStation, Mihara Station]
-
A.
nearestPassengerRailStation
Indicates that one entity is the closest passenger rail station in distance to another entity.
-
B.
nearestRailwayTerminus
Indicates that one location is the closest railway terminus to another specified place.
-
C.
adjacentStationOnJRKyotoLine
Indicates that one station is directly next to another station along the JR Kyoto railway line, with no other stations in between.
-
D.
operatorOfNearestStation
Indicates that an entity is the organization or operator responsible for managing the station that is geographically closest to a given reference point or entity.
-
E.
nearestUndergroundStation
Indicates the relationship where a specific underground (subway/metro) station is the closest one in distance to a given location or entity.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8493964819086aeddfa4872a70b |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f5cea2748190afd607ef93e8d66c |
completed | March 27, 2026, 9:25 p.m. |
Created at: March 27, 2026, 3:47 p.m.