Triple
T8518670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 500 m speed skating at the 2002 Winter Olympics |
E201639
|
entity |
| Predicate | previousOlympicChampionYear |
P44475
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [500 m speed skating at the 2002 Winter Olympics, previousOlympicChampionYear, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousOlympicChampionYear Context triple: [500 m speed skating at the 2002 Winter Olympics, previousOlympicChampionYear, 1998]
-
A.
wonOlympicGoldYear
Indicates that an entity won an Olympic gold medal in the specified year.
-
B.
previousOlympiad
chosen
Indicates that one Olympiad event directly precedes another in chronological order.
-
C.
previousOlympicGamesInCountry
Indicates that the referenced Olympic Games were held in the same country as a later Olympic Games, occurring earlier in time.
-
D.
OlympicSilverMedalYear
Indicates the year in which an entity received a silver medal at the Olympic Games.
-
E.
previousSummerGamesYearInHostCity
Indicates that the given year is the year when the previous Summer Olympic Games were held in the same host city.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe627de908190b463da0f26da4ffb |
completed | March 31, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69cbd10f64b4819080859057c19e58f0 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:16 p.m.