Triple
T18927129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guldborgsund Municipality |
E463002
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Nykøbing Falster |
—
|
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: Nykøbing Falster | Statement: [Guldborgsund Municipality, seat, Nykøbing Falster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nykøbing Falster Context triple: [Guldborgsund Municipality, seat, Nykøbing Falster]
-
A.
Nykøbing Falster
chosen
Nykøbing Falster is a historic market town on the Danish island of Falster, known for its medieval heritage and role as a regional commercial and cultural center.
-
B.
Nykøbing Mors
Nykøbing Mors is a Danish coastal town on the island of Mors, known as its main urban center and a local hub for fishing, trade, and tourism.
-
C.
Vordingborg
Vordingborg is a historic coastal town in southern Denmark known for the ruins of Vordingborg Castle and its prominent Goose Tower.
-
D.
Fjerritslev
Fjerritslev is a small Danish town in the North Jutland region, known historically for its agricultural surroundings and local brewery heritage.
-
E.
Vækerø
Vækerø is a residential and commercial area in Oslo, Norway, located along the western waterfront and known for its mix of housing, offices, and green spaces.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9bc36588190ae9cc3b8abf8afd4 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.