Triple
T16046758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anatoly Karpov |
E389241
|
entity |
| Predicate | playedWorldChampionshipMatchInYear |
P119946
|
FINISHED |
| Object | 1984 |
—
|
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: 1984 | Statement: [Anatoly Karpov, playedWorldChampionshipMatchInYear, 1984]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedWorldChampionshipMatchInYear Context triple: [Anatoly Karpov, playedWorldChampionshipMatchInYear, 1984]
-
A.
worldChampionshipMatchYear
chosen
Indicates the year in which a given world championship match took place.
-
B.
worldCupAppearanceYear
Indicates the specific year in which an entity participated in a FIFA World Cup tournament.
-
C.
WorldChampionshipParticipation
Indicates that an entity has taken part in a world championship event or competition.
-
D.
WorldChampionshipAppearances
Indicates the number of times an entity has participated in a world championship competition.
-
E.
playedInTournament
Indicates that an entity participated as a competitor or player in a specific tournament.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1ff63edb0819092cbb671967bbdcd |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e1826f34c081908005bb736f1c485d |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.