Triple
T26747354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vadvetjåkka National Park |
E674435
|
entity |
| Predicate | hasLowVisitorNumbers |
P175966
|
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: [Vadvetjåkka National Park, hasLowVisitorNumbers, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowVisitorNumbers Context triple: [Vadvetjåkka National Park, hasLowVisitorNumbers, true]
-
A.
hasTargetVisitors
Indicates that something is intended or designed to be visited by a specific group of people as its primary audience or users.
-
B.
haveHighLevelVisits
Indicates that there are official visits or meetings occurring at a high or senior level between the related entities.
-
C.
hasVisitorNumber
Indicates the assigned sequential number or position of a visitor within a series of visitors to an entity.
-
D.
typicalVisitorsPerSeason
Indicates the usual number of visitors associated with each season for a given entity or location.
-
E.
hasTouristVisits
Indicates that one entity experiences or records visits from tourists to another entity.
- F. None of above. chosen
Provenance (4 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_69eecda63a3881908095c47900692e65 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6db3606808190a80c6e9f5da5b33e |
completed | May 3, 2026, 5:20 a.m. |
| PD | Predicate disambiguation | batch_69f6d82adfa481908a5e196d2e18c73f |
completed | May 3, 2026, 5:07 a.m. |
| PDg | Predicate description generation | batch_69f6db1bc348819097c844f76e2fa4fe |
completed | May 3, 2026, 5:20 a.m. |
Created at: April 27, 2026, 3:52 a.m.