Triple
T8933914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra Leone national football team |
E212726
|
entity |
| Predicate | africaCupOfNationsAppearances |
P86273
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Sierra Leone national football team, africaCupOfNationsAppearances, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: africaCupOfNationsAppearances Context triple: [Sierra Leone national football team, africaCupOfNationsAppearances, 3]
-
A.
WorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup final tournaments.
-
B.
ConfederationsCupAppearances
Indicates the number of times an entity has participated in the FIFA Confederations Cup tournament.
-
C.
worldCupAppearances
Indicates the number of times an entity has participated in a FIFA World Cup tournament.
-
D.
fifaWorldCupAppearances
Indicates the number of times an entity has participated in FIFA World Cup tournaments.
-
E.
asianCupAppearances
Indicates the number of times an entity has participated in the AFC Asian Cup tournament.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc668fa87c8190bfeda820368b89e4 |
completed | April 1, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed3286c8190a21de2ee11f2639f |
completed | March 31, 2026, 11:54 p.m. |
| PDg | Predicate description generation | batch_69cc608331f88190bcb500ff63527f8a |
completed | April 1, 2026, 12:02 a.m. |
Created at: March 30, 2026, 6:57 p.m.