Triple
T3411864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steller sea lion |
E71914
|
entity |
| Predicate | maximumFemaleBodyMass |
P14792
|
FINISHED |
| Object | about 300 kilograms |
—
|
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 300 kilograms | Statement: [Steller sea lion, maximumFemaleBodyMass, about 300 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumFemaleBodyMass Context triple: [Steller sea lion, maximumFemaleBodyMass, about 300 kilograms]
-
A.
largestLiving
Indicates that the subject is the largest currently living instance of a given type or within a specified group or context.
-
B.
maximumAdultLength
Indicates the greatest length an organism or entity can reach at full adult size.
-
C.
carapaceLengthMax
Indicates the maximum recorded or allowed length of an organism’s carapace in a given context.
-
D.
maximumCarapaceLength
Indicates the greatest measured length of an organism’s carapace within the described context or dataset.
-
E.
maximumWeight
chosen
Indicates the greatest allowable or observed weight value associated with an entity or relationship.
- 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb90a76288190b92ef3b26638cd47 |
completed | March 8, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69adadfcbc38819080852c18240451c5 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:15 p.m.