Triple
T7219884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ladas |
E150228
|
entity |
| Predicate | breedingStatus |
P75523
|
FINISHED |
| Object | stood at stud in England |
—
|
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: stood at stud in England | Statement: [Ladas, breedingStatus, stood at stud in England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: breedingStatus Context triple: [Ladas, breedingStatus, stood at stud in England]
-
A.
hasBreedingCode
Indicates that an entity is associated with a specific code representing its breeding status, behavior, or category.
-
B.
breedingMethod
Indicates the technique or process by which organisms are bred or reproduced.
-
C.
breedingUse
Indicates that one entity is used for breeding or reproductive purposes with respect to another entity.
-
D.
reproductionType
Indicates the mode or method by which an organism reproduces or generates offspring.
-
E.
reproductiveType
Indicates the mode or strategy by which an organism reproduces or generates offspring.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9b1a7908190bd215ffb84592e32 |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e75f84e481909e7866186ae80cff |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e889854481908c765ce2107f2d3a |
completed | March 27, 2026, 8:28 p.m. |
Created at: March 27, 2026, 2:53 p.m.