Triple
T23013285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Firestone Grand Prix of St. Petersburg |
E572962
|
entity |
| Predicate | firstIndyCarSeriesRaceHeld |
P69215
|
FINISHED |
| Object | 2005 |
—
|
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: 2005 | Statement: [Firestone Grand Prix of St. Petersburg, firstIndyCarSeriesRaceHeld, 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstIndyCarSeriesRaceHeld Context triple: [Firestone Grand Prix of St. Petersburg, firstIndyCarSeriesRaceHeld, 2005]
-
A.
firstIndyCarSeriesRace
chosen
Indicates the event that was a subject's first race participation in the IndyCar Series.
-
B.
firstNASCARRaceHeld
Indicates that the subject entity is the location or event where the first NASCAR race was held.
-
C.
firstF1RaceHeld
Indicates that the subject is the location or venue where the first Formula 1 race was held.
-
D.
firstRaceAtCircuit
Indicates that the referenced race is the first race ever held at the specified circuit.
-
E.
firstIndyCarWin
Indicates that the subject achieved their first victory in an IndyCar race.
- 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183e300008190bb12c6388a8b3280 |
completed | April 29, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9cd5488190bcd23183179f48cd |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:51 p.m.