Triple
T18113033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran |
E433528
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | Jaren 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: Jaren Station | Statement: [Gran, hasRailwayStation, Jaren Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaren Station Context triple: [Gran, hasRailwayStation, Jaren Station]
-
A.
Jaren Station
chosen
Jaren Station is a local railway station serving the village of Jaren in Gran municipality in Innlandet county, Norway.
-
B.
Teine Station
Teine Station is a key railway station in Sapporo, Hokkaido, Japan, serving as an important hub for local and regional train services.
-
C.
Kwinana station
Kwinana station is a suburban passenger railway station in Perth, Western Australia, serving the Kwinana area on the Mandurah line.
-
D.
Ryers station
Ryers station is a commuter rail stop in Philadelphia, Pennsylvania, served by SEPTA's Fox Chase Line.
-
E.
McEwan Station
McEwan Station is a light rail transit stop on Edmonton’s LRT network in Edmonton, Alberta, Canada.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd3fd9c81909bfe95927f7553e3 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.