Triple
T13614511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bykle |
E325276
|
entity |
| Predicate | hasFormerCounty |
P110432
|
FINISHED |
| Object | Aust-Agder |
E64056
|
NE FINISHED |
How this triple was built (3 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: Aust-Agder | Statement: [Bykle, hasFormerCounty, Aust-Agder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aust-Agder Context triple: [Bykle, hasFormerCounty, Aust-Agder]
-
A.
Aust-Agder
chosen
Aust-Agder was a former county in southern Norway known for its coastal towns, forests, and role in the country’s maritime and timber industries.
-
B.
Agder
Agder is a county in southern Norway known for its long coastline, maritime heritage, and popular coastal towns and islands.
-
C.
Vestfold og Telemark
Vestfold og Telemark is a former county in southeastern Norway known for its coastal towns, industrial heritage, and varied landscapes from fjords to inland forests and mountains.
-
D.
Hordaland
Hordaland was a former county in western Norway known for its fjords, coastal landscapes, and the city of Bergen.
-
E.
Sogn og Fjordane
Sogn og Fjordane was a former county in western Norway known for its dramatic fjords, mountains, and coastal landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerCounty Context triple: [Bykle, hasFormerCounty, Aust-Agder]
-
A.
previousCounty
Indicates that one county was the immediately preceding county associated with an entity before the current or later county.
-
B.
existedAsCountyUntil
Indicates that an entity functioned with the status or designation of a county up to a specified end date or time period.
-
C.
formerMunicipalityOf
Indicates that an entity was previously an independent municipality that has since been merged into or replaced by the referenced municipality.
-
D.
historicCountyPredecessor
Indicates that one historic county served as a predecessor or earlier form of another historic county in an administrative or territorial succession.
-
E.
hasCountySeatOfParentCounty
Indicates that a location serves as the county seat (administrative center) for the county that is the parent of another referenced entity.
- F. None of above. chosen
Provenance (5 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe5eeba08190849171d079745d1a |
completed | May 9, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbbb8c77dc8190b7bd803b5e168d23 |
completed | April 12, 2026, 3:34 p.m. |
Created at: April 9, 2026, 9:50 p.m.