Triple
T17657806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sigdal |
E440170
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Eggedal |
—
|
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: Eggedal | Statement: [Sigdal, hasSettlement, Eggedal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eggedal Context triple: [Sigdal, hasSettlement, Eggedal]
-
A.
Eggedal
chosen
Eggedal is a valley and rural area in Viken county, Norway, known for its traditional farming landscape, outdoor recreation, and cultural heritage.
-
B.
Eggum
Eggum is a small coastal village on the island of Vestvågøy in Norway’s Lofoten archipelago, known for its scenic Arctic landscape and midnight sun views.
-
C.
Egede
Egede is a small village in the Dutch province of Overijssel, located within the municipality of Hellendoorn.
-
D.
Engerdal
Engerdal is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and proximity to the Swedish border.
-
E.
Eggesin
Eggesin is a small town in northeastern Germany, located in the state of Mecklenburg-Vorpommern near the Polish border.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea3b4cc81908eec7032cf221d49 |
completed | April 19, 2026, 5:56 a.m. |
Created at: April 10, 2026, 9:28 a.m.