Triple
T27143633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 Grand National |
E681879
|
entity |
| Predicate | countryOfWinningTrainer |
P117818
|
FINISHED |
| Object | Ireland |
—
|
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: Ireland | Statement: [2021 Grand National, countryOfWinningTrainer, Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfWinningTrainer Context triple: [2021 Grand National, countryOfWinningTrainer, Ireland]
-
A.
winningTrainer
Indicates that the trainer is the one who achieved victory in a particular competition or event.
-
B.
countryOfRacing
Indicates the country in which a racing event, activity, or affiliation takes place or is officially registered.
-
C.
pennantWinnerHomeCountry
Indicates the country that is considered the home nation of the team that won a particular pennant.
-
D.
hasTrainerNationality
chosen
Indicates that the nationality of a trainer is associated with a particular entity (such as a person, team, or athlete).
-
E.
nationalityOfWinner
Indicates the country or nationality associated with the winner of a given event or competition.
- 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_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: April 27, 2026, 9:10 a.m.