Triple
T34898855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asan Station |
E1006516
|
entity |
| Predicate | connectsIntercityServices |
P6302
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Asan Station, connectsIntercityServices, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsIntercityServices Context triple: [Asan Station, connectsIntercityServices, yes]
-
A.
operatesInterCityServices
chosen
Indicates that an entity runs or provides transportation services connecting different cities.
-
B.
railServicesTo
Indicates that rail transportation services operate from one location to another specified destination.
-
C.
hasRailServiceAt
Indicates that a rail transport service operates at or serves a particular location or facility.
-
D.
providesRailConnectionsWithin
Indicates that an entity offers or facilitates rail transport links connecting locations inside a specified area or region.
-
E.
hasRegionalTrainService
Indicates that a location or route is served by regional train services connecting it to nearby areas.
- 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff779e3f0c8190a861f1e4000fd9d9 |
completed | May 9, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69ff77202638819086e4b9f9c0bc7b31 |
completed | May 9, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4 p.m.