Triple
T22811288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretariat Stakes |
E564681
|
entity |
| Predicate | formerGrade |
P145576
|
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: [Secretariat Stakes, formerGrade, Grade 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerGrade Context triple: [Secretariat Stakes, formerGrade, Grade 1]
-
A.
formerRaceGrade
chosen
Indicates that an entity previously held a certain race grade or classification but no longer does.
-
B.
formerHighSchool
Indicates that one entity previously attended or was enrolled at the other entity as their high school.
-
C.
grading
Indicates that one entity is evaluating, scoring, or assigning a quality level to another entity based on specific criteria.
-
D.
former
Indicates that an entity previously held a role, status, or relationship but no longer does so in the present.
-
E.
introducedAsGrade
Indicates that one entity was presented or designated to another specifically in the role or capacity of a particular grade or level.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d60186881908f6cb609c536dc91 |
completed | April 29, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:32 p.m.