Triple
T29679843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgian Warmblood |
E750919
|
entity |
| Predicate | allowsOutcross |
P180795
|
FINISHED |
| Object | other approved warmblood stallions |
—
|
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: other approved warmblood stallions | Statement: [Belgian Warmblood, allowsOutcross, other approved warmblood stallions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowsOutcross Context triple: [Belgian Warmblood, allowsOutcross, other approved warmblood stallions]
-
A.
crossesOverWith
Indicates that one entity intersects or overlaps with another, typically by passing across or through its path, boundary, or extent.
-
B.
supportsBreeding
Indicates that one entity enables, facilitates, or is suitable for the breeding or reproduction of another entity.
-
C.
crossedWith
Indicates that one entity has moved from one side of another entity or boundary to the opposite side, typically by passing over or through it.
-
D.
mayCross
Indicates that one entity is permitted or allowed to cross or pass over another entity or boundary.
-
E.
crossesTo
Indicates that one entity moves or extends from one side or area to another, passing over or through some boundary or intervening space.
- 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_69f0d624d7b08190ba237d226f78d0d9 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
| PDg | Predicate description generation | batch_69f7516c538481908c6e55cf76add098 |
completed | May 3, 2026, 1:45 p.m. |
Created at: April 28, 2026, 7:09 p.m.