Triple
T29679842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgian Warmblood |
E750919
|
entity |
| Predicate | hasStudbookPolicy |
P59524
|
FINISHED |
| Object | open studbook |
—
|
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: open studbook | Statement: [Belgian Warmblood, hasStudbookPolicy, open studbook]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStudbookPolicy Context triple: [Belgian Warmblood, hasStudbookPolicy, open studbook]
-
A.
hasStudBook
Indicates that an entity maintains or is associated with an official stud book recording the pedigrees and breeding details of animals, typically for a specific breed.
-
B.
hasBreedRegistry
chosen
Indicates that an animal or breed is officially recorded or recognized in a specific breed registry or studbook.
-
C.
hasAccessionPolicy
Indicates that an entity is governed by a specific policy defining the rules or conditions under which access or admission is granted.
-
D.
hasBreedStandardRestriction
Indicates that there is a rule or limitation defined in a breed standard that restricts how the entity may be bred, shown, or classified.
-
E.
hasBreedingProgram
Indicates that an entity operates, participates in, or maintains an organized program for breeding organisms (such as animals or plants).
- 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_69f0d624d7b08190ba237d226f78d0d9 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fddac4e2f48190a9301d3422658b29 |
completed | May 8, 2026, 12:44 p.m. |
| PD | Predicate disambiguation | batch_69fdda06969c8190b5d033964ea2a690 |
completed | May 8, 2026, 12:41 p.m. |
Created at: April 28, 2026, 7:09 p.m.