Triple
T16504699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian Michelsen |
E400894
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Fjøsanger |
E1217496
|
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: Fjøsanger | Statement: [Christian Michelsen, residence, Fjøsanger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fjøsanger Context triple: [Christian Michelsen, residence, Fjøsanger]
-
A.
Fjøsanger
chosen
Fjøsanger is a residential area in Bergen, Norway, historically known for its estates and as the place where former Norwegian Prime Minister Christian Michelsen died.
-
B.
Fosnes
Fosnes was a former rural municipality in Trøndelag county, Norway, known for its coastal landscape and small, dispersed population.
-
C.
Sørenga
Sørenga is a modern waterfront neighborhood in Oslo, Norway, known for its residential developments, seaside promenade, and popular public seawater pool and beach.
-
D.
Leikanger
Leikanger is a village and former municipality in Vestland county, Norway, situated along the Sognefjord and known for its fruit farming and scenic fjord landscape.
-
E.
Fagernes
Fagernes is a small town in central Norway that serves as a regional hub and gateway to the mountainous Valdres district.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e51ce1c81909548298f703a7ffa |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00607e933c8190ae0572583b5a9cbf |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:14 a.m.