Triple
T1276169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egyptians |
E27216
|
entity |
| Predicate | nationalSportPopularity |
P251
|
FINISHED |
| Object | Football (soccer) |
—
|
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: Football (soccer) | Statement: [Egyptians, nationalSportPopularity, Football (soccer)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalSportPopularity Context triple: [Egyptians, nationalSportPopularity, Football (soccer)]
-
A.
nationalSport
Indicates that a particular sport is officially recognized as the primary or representative sport of a country or nation.
-
B.
popularSport
chosen
Indicates that a sport is widely liked, followed, or played by many people within a certain group or region.
-
C.
sportCountry
Indicates the country with which a given sport, sporting event, or sports organization is associated or primarily linked.
-
D.
sportsCount
Indicates the number of sports associated with or involved in a given entity or context.
-
E.
primarySport
Indicates the main sport with which an entity (such as a person, team, or organization) is most closely associated or primarily involved.
- 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_69a496d3710c8190955dee8bc0dacb50 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c31602b8819087a57e8d390cae7a |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4bee0be808190a8ccac6a41851fdd |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:50 p.m.