Triple
T2369106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Zealand fur seal |
E46047
|
entity |
| Predicate | maleLength |
P37841
|
FINISHED |
| Object | up to about 2.5 metres |
—
|
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 2.5 metres | Statement: [New Zealand fur seal, maleLength, up to about 2.5 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maleLength Context triple: [New Zealand fur seal, maleLength, up to about 2.5 metres]
-
A.
maxLengthGirth
Indicates that there is a maximum allowable or observed girth (thickness or circumference) associated with the related entity or relationship.
-
B.
maxLengthGirthUnit
Indicates the unit of measurement used to express the maximum girth length of an entity.
-
C.
averageMaleHeight
Indicates the typical or mean height value associated with male individuals in a given population or context.
-
D.
maleEquivalent
Indicates that one entity is the corresponding male counterpart or equivalent of another entity.
-
E.
malesOftenHave
Indicates that male entities frequently possess, exhibit, or are associated with the specified attribute or characteristic.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc76dcaa481908567a068bd61e5ad |
completed | March 7, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69abc59b88348190a2d6c08f69974117 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abc6443c6c8190b932de2abd8eb28f |
completed | March 7, 2026, 6:31 a.m. |
Created at: March 4, 2026, 7:56 p.m.