Triple
T35944602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIFA World Youth Championship 1999 matches |
E1039553
|
entity |
| Predicate | playedOnContinent |
P158678
|
FINISHED |
| Object | Africa |
—
|
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: Africa | Statement: [FIFA World Youth Championship 1999 matches, playedOnContinent, Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedOnContinent Context triple: [FIFA World Youth Championship 1999 matches, playedOnContinent, Africa]
-
A.
playedOnEveryFIFAContinent
Indicates that the subject has played (e.g., participated in matches) on at least one country within each of the official FIFA-recognized continental confederations.
-
B.
continentOfActivity
Indicates the continent on which an entity primarily operates, is active, or conducts its main activities.
-
C.
participatingContinent
chosen
Indicates that a continent is involved as a participant in a specified event, process, or relationship.
-
D.
continentOfClubsPlayedIn
Indicates the continent in which the clubs a given entity has played for are located.
-
E.
continentOfOffice
Indicates the continent on which a given office is geographically located.
- 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_69f76e24bbd0819096b837d35371639a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd389cb28c819099a77e28d25f258a |
completed | May 8, 2026, 1:13 a.m. |
| PD | Predicate disambiguation | batch_69fd3826d8048190ada79a5868d1d7f3 |
completed | May 8, 2026, 1:11 a.m. |
Created at: May 3, 2026, 4:07 p.m.