Triple
T27143616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 Grand National |
E681879
|
entity |
| Predicate | numberOfFinishers |
P197587
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [2021 Grand National, numberOfFinishers, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFinishers Context triple: [2021 Grand National, numberOfFinishers, 15]
-
A.
totalFinishersOnLeadLap
Indicates the number of competitors who completed the event on the same lap as the race leader.
-
B.
numberOfRunners
chosen
Indicates the total count of runners involved in a specified event, context, or situation.
-
C.
finishedRunnersUpIn
Indicates that one entity concluded a competition or contest in the runners-up position relative to another entity or event.
-
D.
finishedSecondInRace
Indicates that an entity completed a race in second place relative to other competitors.
-
E.
numberOfParticipants
Indicates the total count of entities involved in a particular event, activity, or relationship.
- 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_69fe9fb9735c8190a360b556c9d00b3f |
completed | May 9, 2026, 2:45 a.m. |
| PD | Predicate disambiguation | batch_69fe9eaa88008190a9b2a469dc685002 |
completed | May 9, 2026, 2:40 a.m. |
Created at: April 27, 2026, 9:10 a.m.