Triple
T23231017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bøverdalen |
E581152
|
entity |
| Predicate | nearestTown |
P350
|
FINISHED |
| Object | Fossbergom |
—
|
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: Fossbergom | Statement: [Bøverdalen, nearestTown, Fossbergom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fossbergom Context triple: [Bøverdalen, nearestTown, Fossbergom]
-
A.
Fossbergom
chosen
Fossbergom is a village in Innlandet county, Norway, serving as the main settlement and service hub for the surrounding Lom municipality in the Ottadalen valley.
-
B.
Frogn
Frogn is a coastal municipality in Viken county, Norway, known for the historic Oscarsborg Fortress in the Oslofjord.
-
C.
Fargus
Fargus is a central playable character in the comedic fantasy action-platformer game Pandemonium!, known for his quirky personality and magical abilities.
-
D.
Frosta
Frosta is a rural municipality and peninsula in Trøndelag county, Norway, known for its fertile farmland and historical significance as a medieval assembly site.
-
E.
Firfol
Firfol is a small commune in the Calvados department of Normandy in northwestern France.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f19231ef908190a791b4967916a66f |
completed | April 29, 2026, 5:08 a.m. |
Created at: April 17, 2026, 4:09 p.m.