Triple
T16558589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenczynek Landscape Park |
E402275
|
entity |
| Predicate | hasFaunaCharacteristic |
P5692
|
FINISHED |
| Object | rich birdlife |
—
|
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: rich birdlife | Statement: [Tenczynek Landscape Park, hasFaunaCharacteristic, rich birdlife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFaunaCharacteristic Context triple: [Tenczynek Landscape Park, hasFaunaCharacteristic, rich birdlife]
-
A.
faunaCharacteristic
chosen
Indicates that an entity has a specific trait, feature, or quality related to animals or animal life.
-
B.
hasFaunaGroup
Indicates that an entity possesses, contains, or is associated with a particular group or assemblage of animal life.
-
C.
hasBiodiversityFeature
Indicates that an entity possesses or is associated with a specific biodiversity-related characteristic, attribute, or element.
-
D.
fauna
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
-
E.
faunaNote
Indicates a note or annotation specifically about animals or wildlife associated with an entity or context.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576bce0c819087ab36f7dec5c394 |
completed | April 18, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:15 a.m.