Triple
T7853795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skedsmo |
E182120
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Skedsmo farm |
E182120
|
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: Skedsmo farm | Statement: [Skedsmo, namedAfter, Skedsmo farm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skedsmo farm Context triple: [Skedsmo, namedAfter, Skedsmo farm]
-
A.
Haugen farm
Haugen farm is the Norwegian site where the historic Tune Viking ship was unearthed.
-
B.
Nørholm gård
Nørholm gård is a historic Norwegian farm estate, best known as the longtime home of Nobel Prize–winning author Knut Hamsun.
-
C.
Akkerhaugen
Akkerhaugen is a small village in Telemark, Norway, known for its scenic lakeside setting and role as a local hub for tourism and agriculture.
-
D.
Skedsmo
chosen
Skedsmo is a former municipality in Viken county, Norway, located northeast of Oslo and known for its suburban communities and historical ties to the Oslo region.
-
E.
Bakklandet
Bakklandet is a historic, picturesque neighborhood in Trondheim, Norway, known for its colorful wooden houses, cobbled streets, and riverside cafés.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18ed56d481909266d862e0ae152d |
completed | March 31, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b1e9e808190a0eb2dea5288e743 |
completed | March 31, 2026, 5:26 a.m. |
Created at: March 30, 2026, 4:51 p.m.