Triple
T5394979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arendal Line |
E120629
|
entity |
| Predicate | originalTerminus |
P885
|
FINISHED |
| Object | Froland |
E63709
|
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: Froland | Statement: [Arendal Line, originalTerminus, Froland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Froland Context triple: [Arendal Line, originalTerminus, Froland]
-
A.
Froland
chosen
Froland is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and historical ties to the mathematician Niels Henrik Abel.
-
B.
Frohburg
Frohburg is a small town in the Free State of Saxony in eastern Germany, known for its historic architecture and rural surroundings.
-
C.
Iveland
Iveland is a small rural municipality in southern Norway known for its forests, agriculture, and mineral resources.
-
D.
Henstead
Henstead is a small rural village and civil parish located in the county of Suffolk in eastern England.
-
E.
Fairburn
Fairburn is a small suburban city in Fulton County, Georgia, that forms part of the greater Atlanta metropolitan area.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87441a208190b79561614759894b |
completed | March 20, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf33739e388190b7d8d27484d7b269 |
completed | March 22, 2026, 12:10 a.m. |
Created at: March 20, 2026, 2:04 p.m.