Triple
T24322794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sekigahara |
E613013
|
entity |
| Predicate | hasRoadsideStation |
P107291
|
FINISHED |
| Object | Michi-no-Eki Sekigahara |
—
|
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: Michi-no-Eki Sekigahara | Statement: [Sekigahara, hasRoadsideStation, Michi-no-Eki Sekigahara]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoadsideStation Context triple: [Sekigahara, hasRoadsideStation, Michi-no-Eki Sekigahara]
-
A.
hasRoadsideFacility
chosen
Indicates that a location or route segment is associated with a facility or service situated along its roadside.
-
B.
hasServiceStationNetworkIn
Indicates that an entity operates or maintains a network of service stations within a specified geographic area or region.
-
C.
hasStationNear
Indicates that one entity has a station located in close proximity to another entity.
-
D.
hasStationAt
Indicates that an entity maintains or operates a station located at a specified place.
-
E.
hasPumpingStation
Indicates that one entity possesses, contains, or is served by a pumping station associated with it.
- 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_69e2d7da491c8190b6e6218af50923db |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292ad4cc881908794b501cf70b7a1 |
completed | April 29, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:52 a.m.