Triple
T18156622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triple Crown of Motorsport |
E434647
|
entity |
| Predicate | asOf2024NumberOfFullCompleters |
P130676
|
FINISHED |
| Object | 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: 1 | Statement: [Triple Crown of Motorsport, asOf2024NumberOfFullCompleters, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: asOf2024NumberOfFullCompleters Context triple: [Triple Crown of Motorsport, asOf2024NumberOfFullCompleters, 1]
-
A.
typicallyCompletedInYearLevel
Indicates the usual school year level in which an activity, course, or requirement is completed.
-
B.
completedIn
Indicates that an action, process, or task was fully finished within a specified time period or duration.
-
C.
numberOfRulesCompleted
Indicates the count of rules that have been successfully completed or satisfied in a given context.
-
D.
completionRate
Indicates the proportion of a task, process, or set of items that has been finished relative to its total intended amount.
-
E.
numberOfCompletedParts
Indicates the count of parts within a whole that have been finished or fully completed.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4debe27a88190bd76c6f78fcf1bd1 |
completed | April 19, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:30 a.m.