Triple
T19215488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galápagos sea lion |
E480469
|
entity |
| Predicate | femaleMaximumWeight |
P131844
|
FINISHED |
| Object | about 110 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 110 kilograms | Statement: [Galápagos sea lion, femaleMaximumWeight, about 110 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femaleMaximumWeight Context triple: [Galápagos sea lion, femaleMaximumWeight, about 110 kilograms]
-
A.
femaleMaximumMass
chosen
Indicates the greatest recorded or typical body mass observed specifically for female individuals in the context of the relationship.
-
B.
averageWeightFemale
Indicates the typical or mean body weight associated specifically with female individuals within a given group or context.
-
C.
maximumMaleBodyMass
Indicates the greatest recorded body mass among male individuals within a given group or species.
-
D.
maximumFemaleBodyLength
Indicates the greatest recorded length of the body for female individuals of a given entity or group.
-
E.
maximumWeight
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_69d8e8cb8c348190b52075823911c869 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fa3a417c819083e2e276d44d4d89 |
completed | April 20, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69e4dcf22b3c8190bee02e3af946e114 |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:22 p.m.