Triple
T4542581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | northern elephant seal |
E107569
|
entity |
| Predicate | maleMass |
P49195
|
FINISHED |
| Object | up to about 2300 kg |
—
|
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: up to about 2300 kg | Statement: [northern elephant seal, maleMass, up to about 2300 kg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maleMass Context triple: [northern elephant seal, maleMass, up to about 2300 kg]
-
A.
maleCalled
Indicates that a male individual is referred to or named by a particular name or label.
-
B.
maleEquivalent
Indicates that one entity is the corresponding male counterpart or equivalent of another entity.
-
C.
maleBodyMass
chosen
Indicates that the relationship specifies the body mass or weight associated with a male individual.
-
D.
malesOftenHave
Indicates that male entities frequently possess, exhibit, or are associated with the specified attribute or characteristic.
-
E.
maleLength
Indicates that the relationship specifies the length or size measurement of a male individual or male part of an 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57d3be988190bf118c4a87415613 |
completed | March 20, 2026, 2:21 p.m. |
| PD | Predicate disambiguation | batch_69bd5220e40481908ca2d7e2c43d8531 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:04 p.m.