Triple
T22356840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phoenix Raceway |
E552674
|
entity |
| Predicate | hostsChampionshipWeekendSince |
P35512
|
FINISHED |
| Object | 2020 |
—
|
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: 2020 | Statement: [Phoenix Raceway, hostsChampionshipWeekendSince, 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostsChampionshipWeekendSince Context triple: [Phoenix Raceway, hostsChampionshipWeekendSince, 2020]
-
A.
hostedUSNationalChampionshipsUntil
Indicates that an entity served as the host location or organizer of the U.S. National Championships up to and including a specified end time.
-
B.
hostedDuring
chosen
Indicates that one entity hosted, organized, or held another entity (such as an event or activity) within a specified time period.
-
C.
hostedBySince
Indicates that one entity has been continuously hosted or accommodated by another entity starting from a specified point in time.
-
D.
hasRaceWeek
Indicates that a particular time period is designated as the week during which a race event takes place.
-
E.
hostedOpenChampionshipUntil
Indicates that an entity served as the venue or organizer for the Open Championship tournament up to and including a specified time or edition.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d08b148190a9a4e445e8579219 |
completed | April 29, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:44 p.m.