Triple
T22402059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falkenberg |
E553784
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Falkenberg Municipality |
—
|
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: Falkenberg Municipality | Statement: [Falkenberg, partOf, Falkenberg Municipality]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Falkenberg Municipality Context triple: [Falkenberg, partOf, Falkenberg Municipality]
-
A.
Fagersta Municipality
Fagersta Municipality is a local government area in Västmanland County, central Sweden, known for its industrial heritage and the town of Fagersta.
-
B.
Falkenberg
Falkenberg is a locality in the borough of Lichtenberg in Berlin, Germany, known for its more rural character on the city's northeastern edge.
-
C.
Falkenberg
chosen
Falkenberg is a coastal town in southwestern Sweden known for its beaches, fishing heritage, and location along the River Ätran.
-
D.
Falkenberg
Falkenberg is a small municipality in the Rottal-Inn district of Lower Bavaria in southeastern Germany.
-
E.
Kungsbacka Municipality
Kungsbacka Municipality is a local government area in southwestern Sweden known for its coastal location, proximity to Gothenburg, and mix of urban and rural communities.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b4a96c8190838f5dda21c4d853 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.