Triple
T22963601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egypt national under-23 football team |
E570972
|
entity |
| Predicate | africanGamesGoldMedals |
P150414
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Egypt national under-23 football team, africanGamesGoldMedals, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: africanGamesGoldMedals Context triple: [Egypt national under-23 football team, africanGamesGoldMedals, 2]
-
A.
allAfricaGamesGoldMedal
Indicates that the subject has won a gold medal at the All-Africa Games.
-
B.
allAfricaGamesBronzeMedal
Indicates that an entity has been awarded a bronze medal at the All-Africa Games.
-
C.
allAfricaGamesSilverMedal
Indicates that an entity won a silver medal at the All-Africa Games in a specified event or year.
-
D.
athleticsGoldMedals
Indicates that the subject has won one or more gold medals in athletics competitions.
-
E.
wonAfricaCupOfNations
Indicates that the subject has won the Africa Cup of Nations football 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_69e245b212a88190b5259caf51606084 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181f66fbc8190a4a7b73d17537132 |
completed | April 29, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:47 p.m.