Triple
T6019340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslo county |
E134025
|
entity |
| Predicate | hasCountyStatus |
P63311
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Oslo county, hasCountyStatus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountyStatus Context triple: [Oslo county, hasCountyStatus, true]
-
A.
hasCountyCode
Indicates that an entity is associated with a specific county identified by a standardized county code.
-
B.
hasCountyRights
chosen
Indicates that an entity possesses the legal or administrative rights, privileges, or status associated with a county-level jurisdiction.
-
C.
hasTraditionalCountyStatus
Indicates that an entity holds the official or customary status of being recognized as a traditional county within a given jurisdiction.
-
D.
hasTownStatus
Indicates that an entity possesses the legal or administrative status of being recognized as a town.
-
E.
hasHistoricRegistrationCountyStatus
Indicates that an entity holds or has held official historic registration status within a particular county.
- 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f86efec8190bc357dddf6ebb4a9 |
completed | March 22, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69c049e75b3881908be106fbcf8c68d4 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:07 p.m.