Triple
T33399383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morocco women's national football team |
E855253
|
entity |
| Predicate | bestAfricaWomenCupOfNationsResultYear |
P180748
|
FINISHED |
| Object | 2022 |
—
|
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: 2022 | Statement: [Morocco women's national football team, bestAfricaWomenCupOfNationsResultYear, 2022]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestAfricaWomenCupOfNationsResultYear Context triple: [Morocco women's national football team, bestAfricaWomenCupOfNationsResultYear, 2022]
-
A.
africaWomenCupOfNationsAppearances
Indicates the number of times an entity has participated in the Africa Women’s Cup of Nations tournament.
-
B.
wonAfricaCupOfNations
Indicates that the subject has won the Africa Cup of Nations football tournament.
-
C.
bestAfricaU17CupOfNationsResult
Indicates the highest placement or achievement an entity has attained in the Africa U-17 Cup of Nations tournament.
-
D.
bestResultAfricaU20CupOfNations
Indicates the highest placement or achievement a team has attained in the Africa U-20 Cup of Nations tournament.
-
E.
bestUefaWomen’sChampionshipResult
Indicates the highest level of success an entity has achieved in the UEFA Women's Championship competition.
- 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_69f3496e3f1c8190bcecfa82aa9d17ff |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
| PDg | Predicate description generation | batch_69f74c6fa6548190b03935f65429a24e |
completed | May 3, 2026, 1:23 p.m. |
Created at: May 1, 2026, 1:35 a.m.