Triple
T29489276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irina Slutskaya |
E748026
|
entity |
| Predicate | grandPrixFinalChampionYears |
P168765
|
FINISHED |
| Object | 2000–2001 |
—
|
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: 2000–2001 | Statement: [Irina Slutskaya, grandPrixFinalChampionYears, 2000–2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grandPrixFinalChampionYears Context triple: [Irina Slutskaya, grandPrixFinalChampionYears, 2000–2001]
-
A.
yearOfWin
Indicates the specific calendar year in which an entity achieved a particular victory or win.
-
B.
championshipEndYear
Indicates the calendar year in which a particular championship or title-holding period concludes.
-
C.
championPreviousTitleYear
Indicates the year in which the current champion previously held the same title.
-
D.
FormulaOneWorldChampionYear
Indicates the specific year in which an entity held the title of Formula One World Champion.
-
E.
mostWinsYears
Indicates the years during which an entity achieved the highest number of wins compared to others or compared to its own performance in other years.
- 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_69f0bd448c6881908aa6b475cefd5ddc |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f67805551c81909e016ae9e3031076 |
completed | May 2, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676f73c3481909f01fa69851b7298 |
completed | May 2, 2026, 10:13 p.m. |
Created at: April 28, 2026, 4:12 p.m.