Triple
T7294025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shikotan |
E164468
|
entity |
| Predicate | floraFauna |
P950
|
FINISHED |
| Object | rich marine biodiversity |
—
|
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 marine biodiversity | Statement: [Shikotan, floraFauna, rich marine biodiversity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: floraFauna Context triple: [Shikotan, floraFauna, rich marine biodiversity]
-
A.
fauna
chosen
Indicates that an entity is an animal or part of the animal life associated with a particular place or context.
-
B.
faunaCharacteristic
Indicates that an entity has a specific trait, feature, or quality related to animals or animal life.
-
C.
featuresSpecies
Indicates that something includes, presents, or highlights a particular species as part of its content or composition.
-
D.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
-
E.
birdDiversity
Indicates the variety and richness of different bird species present within a given area, community, or dataset.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8b7cc08190983739bf667057c9 |
completed | March 27, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69c6e76c5fbc8190b378830082f11cb0 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3 p.m.