Triple
T3072534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aust-Agder |
E64056
|
entity |
| Predicate | containedMunicipality |
P14658
|
FINISHED |
| Object | Froland |
E63709
|
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: Froland | Statement: [Aust-Agder, containedMunicipality, Froland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Froland Context triple: [Aust-Agder, containedMunicipality, Froland]
-
A.
Froland
chosen
Froland is a rural municipality in Agder county in southern Norway, known for its forests, rivers, and historical ties to the mathematician Niels Henrik Abel.
-
B.
Frohburg
Frohburg is a small town in the Free State of Saxony in eastern Germany, known for its historic architecture and rural surroundings.
-
C.
Henstead
Henstead is a small rural village and civil parish located in the county of Suffolk in eastern England.
-
D.
Pleasant Valley
Pleasant Valley is a small town and community in Dutchess County, New York, known for its rural character and residential neighborhoods.
-
E.
Harpley
Harpley is a small rural village in Norfolk, England, known for its traditional English countryside setting and historic parish church.
- 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_69ad857a8aec8190bfdfd9c14554ac5a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada14c8bd881909cf1bb2649ba36db |
completed | March 8, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f8828c488190877902a6c2dfcb5e |
completed | March 11, 2026, 11:19 p.m. |
Created at: March 8, 2026, 3:02 p.m.