Triple
T34269857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Correspondence Chess Champion |
E879281
|
entity |
| Predicate | countryOfFirstChampion |
P203220
|
FINISHED |
| Object | Australia |
—
|
NE NERFINISHED |
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: Australia | Statement: [World Correspondence Chess Champion, countryOfFirstChampion, Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfFirstChampion Context triple: [World Correspondence Chess Champion, countryOfFirstChampion, Australia]
-
A.
countryOfFirstEvent
Indicates the country in which the first event in a sequence or series took place.
-
B.
winnerCountry
Indicates the country that achieved first place or victory in a given competition, event, or contest.
-
C.
lastSeasonChampionCountry
Indicates the country whose team or representative won the championship in the immediately preceding season.
-
D.
countryOfTournament
Indicates the country in which a given tournament is held or officially hosted.
-
E.
pennantWinnerHomeCountry
Indicates the country that is considered the home nation of the team that won a particular pennant.
- 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_69f349b4f5fc819094b441d18e95e5f1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a013d7180d08190b76f64cb430af9e1 |
completed | May 11, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_6a013c77d23c8190bb59e458b506d6e9 |
completed | May 11, 2026, 2:18 a.m. |
| PDg | Predicate description generation | batch_6a013d70e2448190a034e8a11a457008 |
completed | May 11, 2026, 2:22 a.m. |
Created at: May 1, 2026, 1:56 a.m.