Triple
T10052409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coho salmon |
E208777
|
entity |
| Predicate | averageFreshwaterJuvenilePeriod |
P91838
|
FINISHED |
| Object | about 1 year |
—
|
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: about 1 year | Statement: [Coho salmon, averageFreshwaterJuvenilePeriod, about 1 year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageFreshwaterJuvenilePeriod Context triple: [Coho salmon, averageFreshwaterJuvenilePeriod, about 1 year]
-
A.
permanentFreshwaterSources
Indicates that there are enduring, non-seasonal bodies of freshwater present at or associated with the subject.
-
B.
dietInFreshwater
Indicates that an entity’s diet consists of organisms or resources obtained from freshwater environments.
-
C.
receivesFreshwaterFrom
Indicates that one entity is supplied with or obtains freshwater from another entity as its source.
-
D.
freshwaterAvailability
Indicates the degree to which usable freshwater resources are present and accessible in a given context.
-
E.
maximumAdultLength
Indicates the greatest length an organism or entity can reach at full adult size.
- 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf9135bc8190a48a2e5cbafca0cd |
completed | April 2, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8d2280819089de27e57babd1f3 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:56 p.m.