Triple
T3411863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steller sea lion |
E71914
|
entity |
| Predicate | maximumMaleBodyMass |
P49299
|
FINISHED |
| Object | about 1000 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 1000 kilograms | Statement: [Steller sea lion, maximumMaleBodyMass, about 1000 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumMaleBodyMass Context triple: [Steller sea lion, maximumMaleBodyMass, about 1000 kilograms]
-
A.
averageWingspanMale
Indicates the typical or mean wingspan measurement for male individuals of a given species or group.
-
B.
largestLiving
Indicates that the subject is the largest currently living instance of a given type or within a specified group or context.
-
C.
averageBodyLengthMale
Indicates the typical or mean body length measured specifically for male individuals of a species or group.
-
D.
maximumAdultLength
Indicates the greatest length an organism or entity can reach at full adult size.
-
E.
highestBody
Indicates that one entity is the tallest or most elevated body (e.g., physical object, celestial body, or structural component) relative to a specified set or context.
- 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_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. |
| PDg | Predicate description generation | batch_69adb23d23088190aeafe1379eae2eaa |
completed | March 8, 2026, 5:30 p.m. |
Created at: March 8, 2026, 3:15 p.m.