Triple
T10423870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arctic fox |
E245732
|
entity |
| Predicate | maxLitterSize |
P87411
|
FINISHED |
| Object | up to 14 pups |
—
|
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 14 pups | Statement: [Arctic fox, maxLitterSize, up to 14 pups]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxLitterSize Context triple: [Arctic fox, maxLitterSize, up to 14 pups]
-
A.
numberOfOffspringPerBirth
chosen
Indicates the typical count of offspring produced in a single birth event for an entity.
-
B.
clutchSize
Indicates the number of offspring (e.g., eggs or young) produced by an organism in a single reproductive event.
-
C.
canineSize
Indicates the relative physical size or stature of a canine in comparison to other canines or a defined standard.
-
D.
hasLargestSpecies
Indicates that one entity possesses, contains, or is associated with the species that is largest in size or extent within a given group or context.
-
E.
hasLargeSpecies
Indicates that an entity possesses or includes at least one species that is considered large in size.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2de4d48190aee65b3f6ec3cc48 |
completed | April 7, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb9d3648190aaabed901f22a8c0 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:12 p.m.