Triple
T13808286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gran municipality |
E331814
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Jaren Station
Jaren Station is a local railway station serving the village of Jaren in Gran municipality in Innlandet county, Norway.
|
E1066063
|
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: Jaren Station | Statement: [Gran municipality, hasRailwayStation, Jaren Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaren Station Context triple: [Gran municipality, hasRailwayStation, Jaren Station]
-
A.
Kwinana station
Kwinana station is a suburban passenger railway station in Perth, Western Australia, serving the Kwinana area on the Mandurah line.
-
B.
McEwan Station
McEwan Station is a light rail transit stop on Edmonton’s LRT network in Edmonton, Alberta, Canada.
-
C.
Cilebut Station
Cilebut Station is a commuter rail station in West Java, Indonesia, serving the KRL Jabodetabek line between Bogor and Jakarta.
-
D.
Gibson station
Gibson station is a Long Island Rail Road commuter rail stop serving the Gibson neighborhood in Valley Stream, New York.
-
E.
Juramento station
Juramento station is a stop on Buenos Aires’ Line D subway serving the Belgrano neighborhood.
- 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: Jaren Station Triple: [Gran municipality, hasRailwayStation, Jaren Station]
Generated description
Jaren Station is a local railway station serving the village of Jaren in Gran municipality in Innlandet county, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jaren Station Target entity description: Jaren Station is a local railway station serving the village of Jaren in Gran municipality in Innlandet county, Norway.
-
A.
Kwinana station
Kwinana station is a suburban passenger railway station in Perth, Western Australia, serving the Kwinana area on the Mandurah line.
-
B.
McEwan Station
McEwan Station is a light rail transit stop on Edmonton’s LRT network in Edmonton, Alberta, Canada.
-
C.
Cilebut Station
Cilebut Station is a commuter rail station in West Java, Indonesia, serving the KRL Jabodetabek line between Bogor and Jakarta.
-
D.
Gibson station
Gibson station is a Long Island Rail Road commuter rail stop serving the Gibson neighborhood in Valley Stream, New York.
-
E.
Juramento station
Juramento station is a stop on Buenos Aires’ Line D subway serving the Belgrano neighborhood.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026eae8481908b8880635e6a9152 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0e5251c81909f3f40dcdea1772f |
completed | May 3, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_69f7c1e73fb481909f89ab3c0e9fb7d0 |
completed | May 3, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c3396f7c8190987079bf24ac8695 |
completed | May 3, 2026, 9:50 p.m. |
Created at: April 9, 2026, 10:12 p.m.