Triple
T23238608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jørgen Løvland |
E581372
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Evje |
—
|
NE NERFINISHED |
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: Evje | Statement: [Jørgen Løvland, placeOfBirth, Evje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evje Context triple: [Jørgen Løvland, placeOfBirth, Evje]
-
A.
Evje
chosen
Evje is a village in southern Norway that serves as a local commercial and service hub in the Setesdal valley.
-
B.
Øyeren
Øyeren is a large lake in southeastern Norway, known for its rich birdlife and role as a major reservoir along the Glomma river system.
-
C.
Tveit
Tveit is a Norwegian surname most notably borne by American actor and singer Aaron Tveit, known for his work in musical theatre, film, and television.
-
D.
Lessebo
Lessebo is a small locality and municipality in southern Sweden known for its traditional paper mill and glassmaking heritage.
-
E.
Onsøy
Onsøy is a former municipality and coastal district that now forms part of the city and municipality of Fredrikstad in Viken county, Norway.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192ebaef4819083a7805537ad993f |
completed | April 29, 2026, 5:11 a.m. |
Created at: April 17, 2026, 4:10 p.m.