Triple
T5394957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arendal Station |
E120628
|
entity |
| Predicate | hasAddress |
P4379
|
FINISHED |
| Object | Arendal, Agder, Norway |
E22542
|
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: Arendal, Agder, Norway | Statement: [Arendal Station, hasAddress, Arendal, Agder, Norway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arendal, Agder, Norway Context triple: [Arendal Station, hasAddress, Arendal, Agder, Norway]
-
A.
Arendal
chosen
Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
-
B.
Folkestad, Norway
Folkestad, Norway is a small village in Norway historically notable as the birthplace of King Haakon IV.
-
C.
Horten, Norway
Horten, Norway is a coastal town and municipality in Vestfold known for its maritime heritage, naval history, and ferry link across the Oslofjord.
-
D.
Kragerø
Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
-
E.
Ballangen, Norway
Ballangen, Norway is a small former mining municipality in Nordland county known for its scenic fjord landscape in Northern Norway.
- 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.