Triple
T20282976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notodden municipality |
E503196
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Heddal |
—
|
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: Heddal | Statement: [Notodden municipality, hasSettlement, Heddal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heddal Context triple: [Notodden municipality, hasSettlement, Heddal]
-
A.
Heddal
chosen
Heddal is a village in Notodden Municipality in Vestfold og Telemark county, Norway, best known for the large medieval Heddal Stave Church.
-
B.
Orkanger
Orkanger is a town in Trøndelag county, Norway, known as a regional commercial and service hub by the Orkdalsfjorden.
-
C.
Avaldsnes
Avaldsnes is a historic village in Rogaland county, Norway, known as one of the country’s oldest royal seats and a key center in Viking-era history.
-
D.
Oseberghaugen
Oseberghaugen is the burial mound in Norway that contained the famous Viking Age Oseberg ship and its rich grave goods.
-
E.
Halling
Halling was a top-class British-trained Thoroughbred racehorse of the 1990s, best known for winning multiple Group 1 middle-distance races including back-to-back Eclipse and Juddmonte International Stakes.
- 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_69e0b4b0e79c8190bd61f22ef1329fa8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6769049b48190bc449557b79b9e81 |
completed | April 20, 2026, 6:55 p.m. |
Created at: April 16, 2026, 10:40 a.m.