Triple
T12257226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egypt national football team |
E292132
|
entity |
| Predicate | afconRunnersUpYear |
P41688
|
FINISHED |
| Object | 1962 |
—
|
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: 1962 | Statement: [Egypt national football team, afconRunnersUpYear, 1962]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afconRunnersUpYear Context triple: [Egypt national football team, afconRunnersUpYear, 1962]
-
A.
afconRunnerUpYear
chosen
Indicates the year in which a given team or country finished as runner-up in the Africa Cup of Nations (AFCON) tournament.
-
B.
afconRunnersUpCount
Indicates the number of times an entity has finished as runners-up in the Africa Cup of Nations (AFCON) tournament.
-
C.
worldCupRunnersUpYear
Indicates the year in which a given team finished as runners-up in the FIFA World Cup tournament.
-
D.
fifaWorldCupRunnersUpYear
Indicates the year in which an entity finished as runners-up in a FIFA World Cup tournament.
-
E.
afconTitleYear
Indicates the specific year in which a given Africa Cup of Nations (AFCON) title was won.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d38ee10819093ed41d2954bf4ef |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c46dcd88190a263db30804bff36 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.