Triple
T36000903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarekjiegná |
E1041126
|
entity |
| Predicate | parkManagementAuthority |
P28087
|
FINISHED |
| Object | Swedish Environmental Protection Agency |
—
|
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: Swedish Environmental Protection Agency | Statement: [Sarekjiegná, parkManagementAuthority, Swedish Environmental Protection Agency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parkManagementAuthority Context triple: [Sarekjiegná, parkManagementAuthority, Swedish Environmental Protection Agency]
-
A.
parkAuthority
chosen
Indicates that an entity has official responsibility for managing, regulating, or overseeing a park or protected recreational area.
-
B.
parkLicensor
Indicates that one entity grants another entity the right or license to use or operate a park.
-
C.
parkSystem
Indicates a relationship where an entity is part of, managed by, or associated with an organized system of parks or protected recreational areas.
-
D.
parkRole
Indicates the functional role or designated purpose an entity has within a park or park-related context.
-
E.
carParkManagedBy
Indicates that the operation, oversight, or administration of a car park is carried out by a specified managing entity.
- 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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.