Triple
T34950190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1958 FIFA World Cup qualification |
E1007969
|
entity |
| Predicate | continentOfFinalsHost |
P13802
|
FINISHED |
| Object | Europe |
—
|
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: Europe | Statement: [1958 FIFA World Cup qualification, continentOfFinalsHost, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continentOfFinalsHost Context triple: [1958 FIFA World Cup qualification, continentOfFinalsHost, Europe]
-
A.
continentOfHosts
Indicates the continent on which the hosts are located or originate.
-
B.
continentOfHostCity
chosen
Indicates the continent on which the host city of an event or entity is located.
-
C.
continentOfWinningTeam
Indicates the continent on which the team that won a given event or competition is located.
-
D.
continentOfParticipatingTeams
Indicates the continent from which the participating teams in an event or competition originate.
-
E.
continentOfClubsPlayedIn
Indicates the continent in which the clubs a given entity has played for are 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_69f76dc5d4308190b77553ee07b1ede6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd592e48cc81909d754cc6c4bd99ae |
completed | May 8, 2026, 3:31 a.m. |
| PD | Predicate disambiguation | batch_69fd58b7f9b881909dc099b28d567784 |
completed | May 8, 2026, 3:30 a.m. |
Created at: May 3, 2026, 4 p.m.