Triple
T36034600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sorachi Subprefecture |
E1042361
|
entity |
| Predicate | majorRailwayLine |
P177940
|
FINISHED |
| Object | Hakodate Main Line |
—
|
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: Hakodate Main Line | Statement: [Sorachi Subprefecture, majorRailwayLine, Hakodate Main Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorRailwayLine Context triple: [Sorachi Subprefecture, majorRailwayLine, Hakodate Main Line]
-
A.
railwayLine
Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
-
B.
formerRailwayLine
Indicates that a railway line previously existed in the past but is no longer in operation or has been decommissioned.
-
C.
isBusiestPassengerRailLineIn
Indicates that a passenger rail line is the one with the highest level of use or traffic within a specified geographic area or system.
-
D.
majorTransportCorridor
Indicates that a route or pathway functions as a primary, high-capacity channel for transporting people or goods between significant locations.
-
E.
railroadLineServed
chosen
Indicates that a particular railroad line provides service to, or operates through, a given location or facility.
- 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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffaa7bc45c8190b907db8579244a7b |
completed | May 9, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69ffa9f6c9a481908fbd4d18b311cbe2 |
completed | May 9, 2026, 9:41 p.m. |
Created at: May 3, 2026, 4:07 p.m.