Triple
T7533884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiroshima Airport |
E178097
|
entity |
| Predicate | nearestRailStation |
P4625
|
FINISHED |
| Object | Shiraichi 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: Shiraichi Station | Statement: [Hiroshima Airport, nearestRailStation, Shiraichi Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestRailStation Context triple: [Hiroshima Airport, nearestRailStation, Shiraichi Station]
-
A.
nearestPassengerRailStation
chosen
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.
nearestUndergroundStation
Indicates the relationship where a specific underground (subway/metro) station is the closest one in distance to a given location or entity.
-
D.
nearestRailwayLine
Indicates that one railway line is the closest in distance to a given location or feature compared to all other railway lines.
-
E.
hasNearbyRailwayStation
Indicates that a railway station is located within a short or convenient distance from the referenced entity.
- 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_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. |
Created at: March 27, 2026, 3:47 p.m.