Triple
T23013414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | course runs along St. Petersburg waterfront |
E572965
|
entity |
| Predicate | hostedFirstIndyCarRace |
P150673
|
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: [course runs along St. Petersburg waterfront, hostedFirstIndyCarRace, 2005]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedFirstIndyCarRace Context triple: [course runs along St. Petersburg waterfront, hostedFirstIndyCarRace, 2005]
-
A.
firstIndyCarSeriesRace
Indicates the event that was a subject's first race participation in the IndyCar Series.
-
B.
firstIndyCarWin
Indicates that the subject achieved their first victory in an IndyCar race.
-
C.
firstNASCARRaceHeld
Indicates that the subject entity is the location or event where the first NASCAR race was held.
-
D.
firstF1RaceHeld
Indicates that the subject is the location or venue where the first Formula 1 race was held.
-
E.
Indianapolis500Location
Indicates the location where the Indianapolis 500 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_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. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:51 p.m.