Triple
T27143614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 Grand National |
E681879
|
entity |
| Predicate | fourthPlaceHorse |
P14675
|
FINISHED |
| Object | Burrows Saint |
—
|
NE NERFINISHED |
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: Burrows Saint | Statement: [2021 Grand National, fourthPlaceHorse, Burrows Saint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fourthPlaceHorse Context triple: [2021 Grand National, fourthPlaceHorse, Burrows Saint]
-
A.
fourthPlace
chosen
Indicates that an entity holds the fourth position or rank in an ordered sequence, competition, or hierarchy.
-
B.
fourthHorseColor
Indicates the color attribute associated specifically with the fourth horse in a given ordered set or context.
-
C.
fourthPlaceQualifiedFor
Indicates that the entity finishing in fourth place has earned qualification for a subsequent stage, event, or competition.
-
D.
mostSuccessfulHorse
Indicates that the subject is the horse with the greatest level of success (e.g., wins, earnings, or titles) within a specified group or context.
-
E.
horseName
Indicates that an entity has the specified name of a horse.
- 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 27, 2026, 9:10 a.m.