Triple
T34221291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Hemisphere and South Africa |
E877927
|
entity |
| Predicate | competitionFormatAspect |
P2673
|
FINISHED |
| Object | regular-season travel between Europe and South Africa |
—
|
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: regular-season travel between Europe and South Africa | Statement: [Northern Hemisphere and South Africa, competitionFormatAspect, regular-season travel between Europe and South Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionFormatAspect Context triple: [Northern Hemisphere and South Africa, competitionFormatAspect, regular-season travel between Europe and South Africa]
-
A.
competitionFormat
chosen
Indicates the specific structure or ruleset under which a competition is organized and conducted.
-
B.
competitionFoundedFormat
Indicates the type or structure of the format in which a competition was originally founded.
-
C.
teamSportFormat
Indicates the type or structure of how a sport is organized and played as a team-based competition.
-
D.
tourFormat
Indicates the specific structure, style, or type of a tour associated with an entity.
-
E.
careerFormat
Indicates the specific structure or type of professional path or occupational arrangement associated with an entity.
- 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_69f349b16d0481908754e3069f05e0c1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 1, 2026, 1:55 a.m.