Triple
T15762839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hemnes |
E382140
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Korgen |
E1176037
|
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: Korgen | Statement: [Hemnes, containsSettlement, Korgen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korgen Context triple: [Hemnes, containsSettlement, Korgen]
-
A.
Korgen
chosen
Korgen is a village in Nordland county, Norway, known as the main local hub for services and administration in the municipality of Hemnes.
-
B.
Kemper
Kemper is a surname most prominently associated with the American banking and philanthropic family involved in finance, arts, and education.
-
C.
Hauerland
Hauerland was a historical German-speaking enclave in central Slovakia, settled by Carpathian Germans in the Middle Ages.
-
D.
Dellner
Dellner is a company specializing in railway coupling and connection systems used on modern passenger and freight trains worldwide.
-
E.
Kroll
Kroll is a surname most notably associated with Colin Kroll, the American entrepreneur and co-founder of Vine and HQ Trivia.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b6c9fc8190a1bcf763c4b04b12 |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9099335c8190b6f0fb336b3dc212 |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 4:47 a.m.