Triple
T37144905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DR Congo national football team |
E920216
|
entity |
| Predicate | afconThirdPlaceFinishes |
P187193
|
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: [DR Congo national football team, afconThirdPlaceFinishes, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afconThirdPlaceFinishes Context triple: [DR Congo national football team, afconThirdPlaceFinishes, 2]
-
A.
afconThirdPlaceYear
Indicates the year in which a team achieved third place at the Africa Cup of Nations (AFCON) tournament.
-
B.
fifaWorldCupThirdPlace
Indicates that an entity finished in third place in a specific edition of the FIFA World Cup.
-
C.
afconQuarterFinalAppearances
Indicates the number of times an entity has reached the quarter-final stage of the Africa Cup of Nations tournament.
-
D.
fifaWorldCupThirdPlaceYear
Indicates the year in which a given team or entity achieved third place in a FIFA World Cup tournament.
-
E.
afconRunnerUpYear
Indicates the year in which a given team or country finished as runner-up in the Africa Cup of Nations (AFCON) 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_69f76e9e9d008190a250b0387c992c74 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb344ba5408190a6fe8face293d88b |
completed | May 6, 2026, 12:30 p.m. |
Created at: May 3, 2026, 4:15 p.m.