Triple
T35270086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dolly Varden |
E1018639
|
entity |
| Predicate | isAnadromous |
P170097
|
FINISHED |
| Object | some populations migrate between freshwater and the sea |
—
|
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: some populations migrate between freshwater and the sea | Statement: [Dolly Varden, isAnadromous, some populations migrate between freshwater and the sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAnadromous Context triple: [Dolly Varden, isAnadromous, some populations migrate between freshwater and the sea]
-
A.
anadromous
chosen
Indicates that an aquatic organism migrates from the sea into freshwater to spawn.
-
B.
isAquatic
Indicates that an entity primarily lives in or is adapted to water environments.
-
C.
hasAquaticAdaptationsIn
Indicates that an entity possesses physical or behavioral adaptations suited for living or functioning in a specified aquatic environment.
-
D.
nativeFish
Indicates that the fish species is originally from, and naturally occurs in, the specified geographic area or ecosystem.
-
E.
livesInWaterType
Indicates that an entity inhabits or primarily lives in a specified type or category of water environment.
- 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_69f76de5c4788190896ad598ae7d6bc6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f9d02dc819088086c775efb9581 |
completed | May 3, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69f78e2f52e08190a77661223a96c601 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.