Triple
T14601492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stange |
E342714
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object | Stange Station |
E1063477
|
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: Stange Station | Statement: [Stange, hasRailwayStation, Stange Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stange Station Context triple: [Stange, hasRailwayStation, Stange Station]
-
A.
Stange Station
chosen
Stange Station is a railway station serving the village of Stange in Innlandet county, Norway, providing regional and intercity train connections.
-
B.
Vestby Station
Vestby Station is a railway station in Vestby, Norway, serving as a stop on the Østfold Line for regional and commuter trains.
-
C.
Valhalla station
Valhalla station is a Metro-North Railroad commuter rail stop in the hamlet of Valhalla in Mount Pleasant, New York.
-
D.
Albertson station
Albertson station is a Long Island Rail Road commuter rail stop located in the hamlet of Albertson, New York.
-
E.
Bachman station
Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb438748081908020ce04b869866a |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94cc9fbc819090ae4efe9bc618aa |
completed | May 8, 2026, 7:46 a.m. |
Created at: April 10, 2026, 1:25 a.m.