Triple
T14324291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicagoland Speedway |
E355174
|
entity |
| Predicate | firstIndyCarRaceYear |
P19145
|
FINISHED |
| Object | 2001 |
—
|
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: 2001 | Statement: [Chicagoland Speedway, firstIndyCarRaceYear, 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstIndyCarRaceYear Context triple: [Chicagoland Speedway, firstIndyCarRaceYear, 2001]
-
A.
firstIndyCarSeriesRace
Indicates the event that was a subject's first race participation in the IndyCar Series.
-
B.
firstF1GrandPrixYear
Indicates the year in which a given Formula 1 Grand Prix was first held.
-
C.
firstTourYear
Indicates the year in which an entity (such as a performer, team, or event) undertook its first tour.
-
D.
firstWRCSeason
Indicates the World Rally Championship season in which an entity (typically a driver or team) made its first competitive appearance.
-
E.
firstRunningYear
chosen
Indicates the year in which something (such as an event, service, or operation) first began running or was initially active.
- 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_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. |
Created at: April 10, 2026, 1:13 a.m.