Triple
T27143615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 Grand National |
E681879
|
entity |
| Predicate | numberOfRunners |
P197587
|
FINISHED |
| Object | 40 |
—
|
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: 40 | Statement: [2021 Grand National, numberOfRunners, 40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRunners Context triple: [2021 Grand National, numberOfRunners, 40]
-
A.
scoringRunnersCount
Indicates the number of runners who successfully score (e.g., reach home plate or equivalent scoring position) as a result of a particular play or action.
-
B.
numberOfRaces
Indicates the total count of races associated with a given entity or event.
-
C.
athleteCount
Indicates the number of athletes associated with a given entity or context.
-
D.
numberOfRiders
Indicates the total count of riders associated with a given entity or event.
-
E.
baseRunners
Indicates that certain players are currently occupying one or more bases as runners in a baseball play or game situation.
- 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_69eefacca3888190b67238d380e8f28b |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fe9dfaa2d08190b2084f63f842eb6b |
completed | May 9, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69fe9bba947c81908b0b2b92a4d19b37 |
completed | May 9, 2026, 2:28 a.m. |
| PDg | Predicate description generation | batch_69fe9df9561c8190a068f91c9fc78e56 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 27, 2026, 9:10 a.m.