Triple
T15550544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hedmarken |
E370730
|
entity |
| Predicate | hasTransportHub |
P2413
|
FINISHED |
| Object | Hamar Station |
E331574
|
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: Hamar Station | Statement: [Hedmarken, hasTransportHub, Hamar Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamar Station Context triple: [Hedmarken, hasTransportHub, Hamar Station]
-
A.
Hamar Station
chosen
Hamar Station is a railway station in the town of Hamar in Innlandet county, Norway, serving as a regional transport hub on the country’s rail network.
-
B.
Holmlia Station
Holmlia Station is a railway station in Oslo, Norway, serving the residential district of Holmlia and the surrounding Søndre Nordstrand area.
-
C.
Kaladar Station
Kaladar Station is a small rural community within the township of Addington Highlands in eastern Ontario, Canada.
-
D.
Thendara station
Thendara station is a historic Adirondack railroad station in upstate New York that serves as a key stop for scenic and tourist rail excursions.
-
E.
Hauketo Station
Hauketo Station is a railway station in Oslo, Norway, serving the Hauketo area and surrounding neighborhoods with commuter rail connections.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04a9551288190a583e8291c35f521 |
completed | April 16, 2026, 2:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff455dfbcc8190a93e90c59b2d3045 |
completed | May 9, 2026, 2:31 p.m. |
Created at: April 10, 2026, 4:08 a.m.