Triple
T13798486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stange municipality |
E331576
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Stange Station
Stange Station is a railway station serving the village of Stange in Innlandet county, Norway, providing regional and intercity train connections.
|
E1063477
|
NE FINISHED |
How this triple was built (4 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 municipality, hasRailwayStation, Stange Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stange Station Context triple: [Stange municipality, hasRailwayStation, Stange Station]
-
A.
Vestby Station
Vestby Station is a railway station in Vestby, Norway, serving as a stop on the Østfold Line for regional and commuter trains.
-
B.
Valhalla station
Valhalla station is a Metro-North Railroad commuter rail stop in the hamlet of Valhalla in Mount Pleasant, New York.
-
C.
Albertson station
Albertson station is a Long Island Rail Road commuter rail stop located in the hamlet of Albertson, New York.
-
D.
Bachman station
Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
-
E.
St. Paul’s station
St. Paul’s station is a London Underground station in the City of London served by the Central line, located near St Paul’s Cathedral.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stange Station Triple: [Stange municipality, hasRailwayStation, Stange Station]
Generated description
Stange Station is a railway station serving the village of Stange in Innlandet county, Norway, providing regional and intercity train connections.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stange Station Target entity description: Stange Station is a railway station serving the village of Stange in Innlandet county, Norway, providing regional and intercity train connections.
-
A.
Vestby Station
Vestby Station is a railway station in Vestby, Norway, serving as a stop on the Østfold Line for regional and commuter trains.
-
B.
Valhalla station
Valhalla station is a Metro-North Railroad commuter rail stop in the hamlet of Valhalla in Mount Pleasant, New York.
-
C.
Albertson station
Albertson station is a Long Island Rail Road commuter rail stop located in the hamlet of Albertson, New York.
-
D.
Bachman station
Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
-
E.
St. Paul’s station
St. Paul’s station is a London Underground station in the City of London served by the Central line, located near St Paul’s Cathedral.
- F. None of above. chosen
Provenance (5 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8da594c81908cb878a8cc1b3a72 |
completed | May 3, 2026, 9:06 p.m. |
| NEDg | Description generation | batch_69f7ba1afc048190a0053497acc64fb1 |
completed | May 3, 2026, 9:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ba99ad9c8190906b6b63cf27a446 |
completed | May 3, 2026, 9:14 p.m. |
Created at: April 9, 2026, 10:11 p.m.