Triple
T22326750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tune |
E551920
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Haugen farm |
—
|
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: Haugen farm | Statement: [Tune, locatedOn, Haugen farm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haugen farm Context triple: [Tune, locatedOn, Haugen farm]
-
A.
Haugen farm
chosen
Haugen farm is the Norwegian site where the historic Tune Viking ship was unearthed.
-
B.
Alstahaug farm
Alstahaug farm is a historic Norwegian farm known for giving its name to the surrounding Alstahaug area and for its traditional rural and cultural significance.
-
C.
Nesset farm
Nesset farm is a historic Norwegian farm best known as the childhood home of Nobel Prize–winning author Bjørnstjerne Bjørnson.
-
D.
Stein farm
Stein farm is a historic farmstead in Hole, Norway, recognized as a cultural heritage site reflecting traditional rural life in the region.
-
E.
Hurum farm
Hurum farm is a historic Norwegian farm that gave its name to the surrounding Hurum area and municipality.
- 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157693460819087c165481eb9e128 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:42 p.m.