Triple
T18113244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sel |
E433533
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Nord-Sel |
—
|
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: Nord-Sel | Statement: [Sel, containsSettlement, Nord-Sel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nord-Sel Context triple: [Sel, containsSettlement, Nord-Sel]
-
A.
Nord-Sel
chosen
Nord-Sel is a small village in Innlandet county, Norway, situated within the mountainous Sel municipality in the Gudbrandsdalen valley.
-
B.
Norrort
Norrort is the collective name for the northern suburbs of Stockholm, Sweden, located north of the city center and commonly contrasted with the southern area known as Söderort.
-
C.
Norddepil
Norddepil is a small coastal village in the Faroe Islands, situated on the island of Borðoy.
-
D.
Randesund
Randesund is a coastal district of Kristiansand in southern Norway, known for its scenic archipelago, beaches, and recreational outdoor areas.
-
E.
Vendsyssel
Vendsyssel is a region in northern Denmark forming the northernmost part of the Jutland peninsula, known for its coastal landscapes and rural towns.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd3fd9c81909bfe95927f7553e3 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.