Triple
T22749089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Targa Florio |
E562640
|
entity |
| Predicate | lastAsWorldSportscarChampionshipRound |
P149593
|
FINISHED |
| Object | 1973 |
—
|
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: 1973 | Statement: [Targa Florio, lastAsWorldSportscarChampionshipRound, 1973]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastAsWorldSportscarChampionshipRound Context triple: [Targa Florio, lastAsWorldSportscarChampionshipRound, 1973]
-
A.
lastWRCSeason
Indicates the most recent World Rally Championship season in which the subject participated or was active.
-
B.
lastWRCWin
Indicates the most recent World Rally Championship event that an entity has won.
-
C.
WRCStarts
Indicates that an instance marks the beginning or kickoff of a World Rally Championship (WRC) event or season.
-
D.
lastRace
Indicates that one race is the final or most recent race in a sequence or series of races.
-
E.
returnedGrandPrix
Indicates that an entity has come back to participate in or host a Grand Prix event after a period of absence.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b822988190b5368ac1f4e1d70a |
completed | April 29, 2026, 3:23 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:24 p.m.