Triple
T5916382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adolph Tidemand |
E131589
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Mandal, Norway |
E543691
|
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: Mandal, Norway | Statement: [Adolph Tidemand, residence, Mandal, Norway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mandal, Norway Context triple: [Adolph Tidemand, residence, Mandal, Norway]
-
A.
Mandal, Norway
chosen
Mandal, Norway is a small coastal town in southern Norway known for its historic wooden architecture and sandy beaches.
-
B.
Ballangen, Norway
Ballangen, Norway is a small former mining municipality in Nordland county known for its scenic fjord landscape in Northern Norway.
-
C.
Rosendal, Norway
Rosendal, Norway is a small village in Kvinnherad municipality in Vestland county, known for its dramatic fjord landscape and the historic Barony Rosendal manor.
-
D.
Folkestad, Norway
Folkestad, Norway is a small village in Norway historically notable as the birthplace of King Haakon IV.
-
E.
Moss, Norway
Moss is a coastal town and municipality in southeastern Norway known for its industrial heritage, ferry connections across the Oslofjord, and scenic beaches and forests.
- 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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037bcea9c8190a34dc03857e3b80b |
completed | March 22, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e397f2748190acf2d629ee57a466 |
completed | March 23, 2026, 6:54 a.m. |
Created at: March 22, 2026, 3:59 p.m.