Triple
T35384002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2019 Africa Cup of Nations |
E1022730
|
entity |
| Predicate | qualificationCycleStartYear |
P183782
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [2019 Africa Cup of Nations, qualificationCycleStartYear, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: qualificationCycleStartYear Context triple: [2019 Africa Cup of Nations, qualificationCycleStartYear, 2017]
-
A.
qualificationEndYear
Indicates the calendar year in which a qualification, certification, or course of study was completed or ended.
-
B.
competitionYears
Indicates the years during which the entities were involved in a particular competition or competitive event.
-
C.
raceYear
Indicates the specific calendar year in which a particular race event takes place.
-
D.
firstCycleYear
Indicates the year in which the first cycle, phase, or iteration of a recurring process begins.
-
E.
seasonYears
Indicates the span of calendar years during which a particular season (e.g., of a show, competition, or activity) takes place or is valid.
- 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7a283388c81908e4a9ee3369e8d6f |
completed | May 3, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
| PDg | Predicate description generation | batch_69f7a224365081908ff6958e3b30bd05 |
completed | May 3, 2026, 7:29 p.m. |
Created at: May 3, 2026, 4:03 p.m.