Triple
T33673687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skogrand |
E862695
|
entity |
| Predicate | hasSecondarySubdivisionName |
P53398
|
FINISHED |
| Object | Akershus |
—
|
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: Akershus | Statement: [Skogrand, hasSecondarySubdivisionName, Akershus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecondarySubdivisionName Context triple: [Skogrand, hasSecondarySubdivisionName, Akershus]
-
A.
hasSecondLevelAdministrativeTerritory
chosen
Indicates that an entity possesses or includes a second-level administrative division within its territorial or organizational hierarchy.
-
B.
hasSubdivisionName3
Indicates that an entity has a third-level subdivision whose name is given by the associated value.
-
C.
hasHigherLevelSubdivision
Indicates that one administrative or organizational unit is contained within and subordinate to a larger, higher-level subdivision.
-
D.
hasPrimaryCountrySubdivision
Indicates that an entity is associated with a main or principal first-level administrative division (such as a state, province, or region) within a specific country.
-
E.
hasSubdivision
Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
- 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_69f34985885c8190914322f492e04703 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff878f41888190bcb3bc41ad26081a |
completed | May 9, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69ff854082d88190aad3bfedf05e849f |
completed | May 9, 2026, 7:04 p.m. |
Created at: May 1, 2026, 1:43 a.m.