Triple
T10428038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rygge |
E245836
|
entity |
| Predicate | mergedInto |
P77
|
FINISHED |
| Object | Moss (municipality) |
E244452
|
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: Moss (municipality) | Statement: [Rygge, mergedInto, Moss (municipality)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moss (municipality) Context triple: [Rygge, mergedInto, Moss (municipality)]
-
A.
Moss municipality
chosen
Moss municipality is a local government area in Viken county, Norway, known for its coastal location along the Oslofjord and centered around the town of Moss.
-
B.
Moss municipal council
Moss municipal council is the elected local governing body responsible for making political and administrative decisions for the municipality of Moss in Norway.
-
C.
Moss, Norway
Moss is a coastal town and municipality in southeastern Norway known for its industrial heritage, ferry connections across the Oslofjord, and scenic beaches and forests.
-
D.
Moss town center
Moss town center is the main commercial and administrative hub of the coastal city of Moss in southeastern Norway.
-
E.
Mosen
Mosen is a small Swiss village in the canton of Lucerne, situated in a rural lakeside setting in central Switzerland.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea4a7dcc81909a830e08656a1c0c |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87ea554888190bf2ef31e33c0ff14 |
completed | April 10, 2026, 4:37 a.m. |
Created at: April 6, 2026, 12:13 p.m.