Triple
T14637526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kedrovaya Pad Nature Reserve |
E343643
|
entity |
| Predicate | faunaDiversity |
P115156
|
FINISHED |
| Object | large mammals |
—
|
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: large mammals | Statement: [Kedrovaya Pad Nature Reserve, faunaDiversity, large mammals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: faunaDiversity Context triple: [Kedrovaya Pad Nature Reserve, faunaDiversity, large mammals]
-
A.
fauna
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
-
B.
faunaOrigin
Indicates the place or source from which an animal species or population originates.
-
C.
faunaCharacteristic
Indicates that an entity has a specific trait, feature, or quality related to animals or animal life.
-
D.
faunaNote
Indicates a note or annotation specifically about animals or wildlife associated with an entity or context.
-
E.
notableFaunaRegion
Indicates that a region is known for or characteristically associated with particular notable animal species.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4aca6448190adf1042dfbfef716 |
completed | April 14, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:26 a.m.