Triple
T23601281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | southern elephant seal |
E582763
|
entity |
| Predicate | maximumMaleWeight |
P49299
|
FINISHED |
| Object | about 4,000 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 4,000 kilograms | Statement: [southern elephant seal, maximumMaleWeight, about 4,000 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumMaleWeight Context triple: [southern elephant seal, maximumMaleWeight, about 4,000 kilograms]
-
A.
maximumMaleBodyMass
chosen
Indicates the greatest recorded body mass among male individuals within a given group or species.
-
B.
femaleMaximumMass
Indicates the greatest recorded or typical body mass observed specifically for female individuals in the context of the relationship.
-
C.
maleBodyMass
Indicates that the relationship specifies the body mass or weight associated with a male individual.
-
D.
lionWeight
Indicates the weight or mass attributed to a lion.
-
E.
maximumMaleBodyLength
Indicates the greatest recorded body length measured for male individuals of a given entity or species.
- 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_69e248faa2788190abb1581742daa6aa |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b0936f588190aead4419aedfcb0e |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:43 p.m.