Triple
T23676752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miyahara Station |
E584898
|
entity |
| Predicate | stationBuildingLocation |
P143279
|
FINISHED |
| Object | above the platforms |
—
|
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: above the platforms | Statement: [Miyahara Station, stationBuildingLocation, above the platforms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationBuildingLocation Context triple: [Miyahara Station, stationBuildingLocation, above the platforms]
-
A.
seatBuildingLocatedIn
Indicates that the building serving as a seat (e.g., headquarters or main office) is geographically located within a specified area or place.
-
B.
hasBuildingLocation
Indicates that a building is situated at, or associated with, a specific geographic or spatial location.
-
C.
locatedOnBuilding
Indicates that one entity is physically situated on the exterior or rooftop surface of a building.
-
D.
locationOfStructure
Indicates that a particular structure is situated at or occupies a specific location.
-
E.
locationInArchitecture
chosen
Indicates the spatial position or placement of one architectural element or feature within or relative to another architectural structure or context.
- 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_69e24901f7c08190909fd727632e823d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4f40c9081908ef0cddb6f0392da |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:51 p.m.