Triple
T27064542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virolahti |
E685135
|
entity |
| Predicate | hasNatureAttraction |
P1094
|
FINISHED |
| Object | birdwatching sites |
—
|
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: birdwatching sites | Statement: [Virolahti, hasNatureAttraction, birdwatching sites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNatureAttraction Context triple: [Virolahti, hasNatureAttraction, birdwatching sites]
-
A.
naturalAttractionOf
Indicates a relationship where one entity is a natural feature or site that draws interest, attention, or visitors from another entity.
-
B.
hasNaturalParkNearby
Indicates that one entity is located close to, or in the vicinity of, a natural park associated with the other entity.
-
C.
containsNaturalPark
Indicates that one entity geographically includes or encompasses a natural park within its boundaries.
-
D.
hasNaturalFeature
chosen
Indicates that one entity possesses, contains, or is characterized by a particular natural feature (such as a mountain, river, forest, or coastline).
-
E.
containsNatureArea
Indicates that one entity spatially includes or encompasses a designated natural area within its boundaries.
- 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_69ef14835fcc81908bd737b4267ae528 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: April 27, 2026, 8:24 a.m.