Triple
T15360050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunnmøre |
E367264
|
entity |
| Predicate | traditionalCountyDivision |
P103366
|
FINISHED |
| Object | one of three districts of Møre og Romsdal |
—
|
LITERAL 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: one of three districts of Møre og Romsdal | Statement: [Sunnmøre, traditionalCountyDivision, one of three districts of Møre og Romsdal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalCountyDivision Context triple: [Sunnmøre, traditionalCountyDivision, one of three districts of Møre og Romsdal]
-
A.
traditionalCountyIncludes
Indicates that a traditional or historic county geographically contains or encompasses another area or entity within its boundaries.
-
B.
historicCountyPart
chosen
Indicates that one entity forms a constituent part or subdivision of a historic county.
-
C.
formerAdministrativeCountyIncludes
Indicates that a geographic area was once part of, or contained within, the boundaries of a former administrative county.
-
D.
sharesCeremonialCountyWith
Indicates that two entities are located within the same ceremonial county.
-
E.
hasCountyCouncil
Indicates that an entity is administratively governed or overseen by a specific county council.
- F. None of above.
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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:18 a.m.