Triple
T14324292
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicagoland Speedway |
E355174
|
entity |
| Predicate | lastIndyCarRaceYear |
P113980
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Chicagoland Speedway, lastIndyCarRaceYear, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastIndyCarRaceYear Context triple: [Chicagoland Speedway, lastIndyCarRaceYear, 2010]
-
A.
lastFormulaOneGrandPrixYear
Indicates the year in which the most recent Formula One Grand Prix involving the given entity took place.
-
B.
firstIndyCarSeriesRace
Indicates the event that was a subject's first race participation in the IndyCar Series.
-
C.
lastPlannedRallyYear
Indicates the year in which the most recent planned rally for an entity is scheduled or was scheduled to occur.
-
D.
lastRecordedIndividualYear
Indicates the calendar year in which the last known individual of a species or population was recorded.
-
E.
raceYear
Indicates the specific calendar year in which a particular race event takes place.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883d1de88190a1e2bf2f1b692197 |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e9ded24819099200349cf80e068 |
completed | April 14, 2026, 12:10 p.m. |
Created at: April 10, 2026, 1:13 a.m.