Triple
T23601279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | southern elephant seal |
E582763
|
entity |
| Predicate | largestSex |
P152877
|
FINISHED |
| Object | male |
—
|
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: male | Statement: [southern elephant seal, largestSex, male]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestSex Context triple: [southern elephant seal, largestSex, male]
-
A.
maximumFemaleBodyLength
Indicates the greatest recorded length of the body for female individuals of a given entity or group.
-
B.
standardSex
Indicates that two entities share the same biological sex or gender classification.
-
C.
femaleMaximumMass
Indicates the greatest recorded or typical body mass observed specifically for female individuals in the context of the relationship.
-
D.
sexes
Indicates that one entity engages in sexual activity with another entity.
-
E.
maxLengthGirth
Indicates that there is a maximum allowable or observed girth (thickness or circumference) associated with the related entity or relationship.
- 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_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. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:43 p.m.