Triple
T9536734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zimbabwe national football team |
E230036
|
entity |
| Predicate | regionalTournamentBestResult |
P25989
|
FINISHED |
| Object | group stage |
—
|
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: group stage | Statement: [Zimbabwe national football team, regionalTournamentBestResult, group stage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalTournamentBestResult Context triple: [Zimbabwe national football team, regionalTournamentBestResult, group stage]
-
A.
WorldChampionshipBestResult
Indicates the best performance or highest placement an entity has ever achieved in a world championship competition.
-
B.
scoredInTournament
Indicates that an entity achieved a score or points during a particular tournament.
-
C.
bestRegionalResult
chosen
Indicates that the associated result is the highest or most favorable outcome achieved within a specific geographic region or regional grouping.
-
D.
bestRegionalResultYear
Indicates the year in which an entity achieved its best performance or highest result within a specific region.
-
E.
playerOfTheTournament
Indicates that an entity has been recognized as the most outstanding performer in a particular 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98ce884c8190a8b3c2dc7c73c2c9 |
completed | April 1, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69cca56c44f88190a54a5d2a133bb07e |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 8:01 p.m.