Triple
T10052399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coho salmon |
E208777
|
entity |
| Predicate | typicalAdultLength |
P18065
|
FINISHED |
| Object | 50 to 70 centimeters |
—
|
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: 50 to 70 centimeters | Statement: [Coho salmon, typicalAdultLength, 50 to 70 centimeters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAdultLength Context triple: [Coho salmon, typicalAdultLength, 50 to 70 centimeters]
-
A.
bodyLengthAdult
Indicates the measured length of an entity’s body in its adult life stage.
-
B.
typicalLength
chosen
Indicates the usual or characteristic length associated with an entity or phenomenon.
-
C.
maximumAdultLength
Indicates the greatest length an organism or entity can reach at full adult size.
-
D.
maleLength
Indicates that the relationship specifies the length or size measurement of a male individual or male part of an entity.
-
E.
typicalDimension
Indicates that one entity represents a standard or characteristic measurement (such as size, length, or capacity) typically associated with another entity.
- 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_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. |
Created at: March 30, 2026, 8:56 p.m.