Triple
T22079965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trout |
E545623
|
entity |
| Predicate | includesSpecies |
P10920
|
FINISHED |
| Object | Lake trout |
—
|
NE NERFINISHED |
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: Lake trout | Statement: [Trout, includesSpecies, Lake trout]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake trout Context triple: [Trout, includesSpecies, Lake trout]
-
A.
Rainbow trout
Rainbow trout is a popular freshwater game fish known for its distinctive multicolored sheen and widespread presence in cold, clear rivers and lakes across North America and beyond.
-
B.
Walleye
The walleye is a popular North American freshwater game fish prized by anglers for its excellent taste and challenging sport.
-
C.
Cutthroat trout
The cutthroat trout is a North American freshwater trout species known for the distinctive red or orange slash marks on its lower jaw and its popularity among anglers.
-
D.
Trout
chosen
Trout is a common name for numerous species of freshwater fish in the salmon family, widely known as popular targets for recreational fishing and valued as a food source.
-
E.
Trout
Trout is a common surname of English and German origin, shared by various individuals and families.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3523488190badd54b5d580c00d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128b56d5c8190aa825fe02e3ad917 |
completed | April 28, 2026, 9:37 p.m. |
Created at: April 16, 2026, 8:28 p.m.