Triple
T22749088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Targa Florio |
E562640
|
entity |
| Predicate | lastWorldChampionshipEditionYear |
P149592
|
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, lastWorldChampionshipEditionYear, 1973]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastWorldChampionshipEditionYear Context triple: [Targa Florio, lastWorldChampionshipEditionYear, 1973]
-
A.
worldChampionshipMatchYear
Indicates the year in which a given world championship match took place.
-
B.
worldChampionshipTitleYear
Indicates the specific year in which an entity won a world championship title.
-
C.
worldCupTitleYear
Indicates the specific year in which an entity won or held a FIFA World Cup title.
-
D.
worldCupHostYear
Indicates the year in which a particular country or location served as the host of the FIFA World Cup tournament.
-
E.
hasWorldChampionship
Indicates that an entity possesses, has won, or holds a world championship title or status.
- 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.