Triple
T11615833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halden town centre |
E275503
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Halden railway station |
E860798
|
NE 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: Halden railway station | Statement: [Halden town centre, hasLandmark, Halden railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halden railway station Context triple: [Halden town centre, hasLandmark, Halden railway station]
-
A.
Ulsrud station
Ulsrud station is a metro station on the Oslo Metro network in Norway, serving the residential area of Ulsrud in the Østensjø borough.
-
B.
Gaustad station
Gaustad station is a stop on Oslo’s metro network serving the Gaustad area, including nearby institutions such as the Rikshospitalet university hospital.
-
C.
Rygge Station
chosen
Rygge Station is a railway station in Rygge, Norway, serving as a local and regional transport hub on the Østfold Line.
-
D.
Verdal Station
Verdal Station is a railway station in the town of Verdal in Trøndelag county, Norway, serving as a stop on the Nordland Line.
-
E.
Veitvet station
Veitvet station is a metro stop in Oslo, Norway, located in the Veitvet neighborhood and forming part of the city's rapid transit network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a04675e08190837a3717242fd0f9 |
completed | April 10, 2026, 7:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a84924a0819084c43aeb7c57ac10 |
completed | April 22, 2026, 10:51 a.m. |
Created at: April 8, 2026, 9:38 p.m.