Triple
T8572626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diocese of Lolland-Falster |
E202963
|
entity |
| Predicate | jurisdictionOver |
P808
|
FINISHED |
| Object | Falster |
E745041
|
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: Falster | Statement: [Diocese of Lolland-Falster, jurisdictionOver, Falster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Falster Context triple: [Diocese of Lolland-Falster, jurisdictionOver, Falster]
-
A.
Falster
chosen
Falster is a Danish Baltic Sea island known for its rural landscapes, coastal tourism, and position as a transit route between Zealand and Germany.
-
B.
Bømlo
Bømlo is a large island and municipality in Vestland county, Norway, known for its rugged coastline, fishing communities, and extensive network of tunnels and bridges connecting it to the mainland.
-
C.
Djursland
Djursland is a rural peninsula in eastern Jutland, Denmark, known for its varied coastline, beaches, and popular holiday and nature tourism.
-
D.
Langeland
Langeland is a Danish island in the South Funen Archipelago, known for its rural landscapes, coastal scenery, and historical villages.
-
E.
Sundbyøster
Sundbyøster is a district of Copenhagen located on the island of Amager, known primarily as a residential urban area.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea43843c8190ac2224d427bb7a75 |
completed | March 31, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc72d8c08190b5e063e6de2bbdd2 |
completed | April 2, 2026, 8:07 p.m. |
Created at: March 30, 2026, 6:21 p.m.