Triple
T18326614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eidsberg |
E439024
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | Mysen 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: Mysen Station | Statement: [Eidsberg, hasRailwayStation, Mysen Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mysen Station Context triple: [Eidsberg, hasRailwayStation, Mysen Station]
-
A.
Mysen Station
chosen
Mysen Station is a railway station in the town of Mysen in Norway, serving as a stop on the Eastern Østfold Line.
-
B.
Harestua Station
Harestua Station is a railway station serving the village of Harestua in Lunner, Norway, on the Gjøvik Line.
-
C.
Maita Station
Maita Station is a railway station in Yokohama, Japan, serving local commuters in the Minami Ward area.
-
D.
Saiin Station
Saiin Station is a railway station in Kyoto, Japan, served by the Hankyu Kyoto Main Line and located in the city’s central urban area.
-
E.
Onda Station
Onda Station is a railway station on the Kodomonokuni Line in Yokohama, Japan, serving local commuter traffic.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aab3e7c81909b1c0a688707dfd6 |
completed | April 19, 2026, 5:02 p.m. |
Created at: April 10, 2026, 10:36 a.m.