Triple
T14946293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hereford cattle |
E372670
|
entity |
| Predicate | crossbreedingAdvantage |
P116782
|
FINISHED |
| Object | heterosis in beef production |
—
|
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: heterosis in beef production | Statement: [Hereford cattle, crossbreedingAdvantage, heterosis in beef production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crossbreedingAdvantage Context triple: [Hereford cattle, crossbreedingAdvantage, heterosis in beef production]
-
A.
contributesTraitInCrossbreeding
Indicates that a particular parent organism provides or passes on a specific trait to the offspring resulting from a crossbreeding event.
-
B.
breedingTrait
Indicates that an entity possesses a heritable characteristic that is relevant or targeted in a breeding process or program.
-
C.
bredWith
Indicates that one entity has been used to reproduce or mate with another entity, typically for the purpose of producing offspring.
-
D.
breedingGoal
Indicates that one entity is the intended objective or target outcome of a breeding process involving another entity.
-
E.
breedingUse
Indicates that one entity is used for breeding or reproductive purposes with respect to another entity.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68e35c481908e47cd68441c5115 |
completed | April 15, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:39 a.m.