Triple
T36988477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mendelssohn |
E915028
|
entity |
| Predicate | gradeLevelOfBreedersCupJuvenileTurf |
P187255
|
FINISHED |
| Object | Grade 1 |
—
|
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: Grade 1 | Statement: [Mendelssohn, gradeLevelOfBreedersCupJuvenileTurf, Grade 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gradeLevelOfBreedersCupJuvenileTurf Context triple: [Mendelssohn, gradeLevelOfBreedersCupJuvenileTurf, Grade 1]
-
A.
yearOfBreedersCupJuvenileWin
Indicates the specific year in which an entity won the Breeders' Cup Juvenile race.
-
B.
juniorTierClassification
Indicates that one entity is assigned a lower or subordinate level within a hierarchical tier structure relative to others.
-
C.
ageAtBreedersCupTurfWin
Indicates the age an entity was when it achieved a winning result in the Breeders' Cup Turf race.
-
D.
breedersCupRace
Indicates that a race is one of the official events in the Breeders' Cup horse racing series.
-
E.
breedersCupQualifierFor
Indicates that a race or event serves as a qualifying competition for participation in a specific Breeders’ Cup race.
- 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb34e4906c8190abb1c293fb84329a |
completed | May 6, 2026, 12:32 p.m. |
Created at: May 3, 2026, 4:14 p.m.