Triple
T18797468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1957 Formula One season |
E459673
|
entity |
| Predicate | includedIndianapolis500 |
P133059
|
FINISHED |
| Object | false |
—
|
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: false | Statement: [1957 Formula One season, includedIndianapolis500, false]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedIndianapolis500 Context triple: [1957 Formula One season, includedIndianapolis500, false]
-
A.
Indianapolis500Location
Indicates the location where the Indianapolis 500 event takes place.
-
B.
wonIndianapolis500InYear
Indicates that the subject achieved victory in the Indianapolis 500 automobile race in the specified year.
-
C.
Daytona500Wins
Indicates that the subject has won the Daytona 500 race the specified number of times or in the specified instances.
-
D.
yearOfDaytona500Win
Indicates the specific year in which an entity won the Daytona 500 race.
-
E.
NASCARCupPoles
Indicates that a subject has achieved one or more pole positions (fastest qualifying times earning the first starting spot) in NASCAR Cup Series races.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a020821881909749f6a1c6cd195b |
completed | April 20, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49785fd7081909577e90a55df0a35 |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 11:53 a.m.