Triple
T16460385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyss |
E399789
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Kappelen |
E1035583
|
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: Kappelen | Statement: [Lyss, hasNeighboringMunicipality, Kappelen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kappelen Context triple: [Lyss, hasNeighboringMunicipality, Kappelen]
-
A.
Kappelen
chosen
Kappelen is a small municipality in the canton of Bern in Switzerland.
-
B.
Kapellen
Kapellen is a municipality in the Belgian province of Antwerp, known for its residential character and green surroundings.
-
C.
Kapp Bruun
Kapp Bruun is a remote Arctic headland located on Kvitøya, an island in the Svalbard archipelago of Norway.
-
D.
Kapelle
Kapelle is a small municipality and town in the Dutch province of Zeeland, known for its agricultural landscape and historic village character.
-
E.
Kapp
Kapp is a surname most notably associated with Joe Kapp, a former professional football quarterback and coach.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d80e66c8190b2b3199efe9cfaa1 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f53aff081909a75de6672f15f0e |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:10 a.m.