Triple
T9282521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Côte d'Ivoire national football team |
E223102
|
entity |
| Predicate | AfricaCupOfNationsRunnersUp |
P87377
|
FINISHED |
| Object | 2006 |
—
|
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: 2006 | Statement: [Côte d'Ivoire national football team, AfricaCupOfNationsRunnersUp, 2006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AfricaCupOfNationsRunnersUp Context triple: [Côte d'Ivoire national football team, AfricaCupOfNationsRunnersUp, 2006]
-
A.
wonAfricaCupOfNations
Indicates that the subject has won the Africa Cup of Nations football tournament.
-
B.
africaCupOfNationsAppearances
Indicates the number of times an entity has participated in the Africa Cup of Nations tournament.
-
C.
africaCupOfNationsBestResult
Indicates the best performance or highest achievement a team or participant has attained in the Africa Cup of Nations tournament.
-
D.
firstAfricaCupOfNationsQualification
Indicates the event or instance in which an entity qualified for the Africa Cup of Nations tournament for the first time.
-
E.
numberOfQualifiedTeamsFromAfrica
Indicates the count of teams from Africa that meet the specified qualification criteria.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081d60a88190b49b040d0e7415bf |
completed | April 1, 2026, 11:57 a.m. |
| PD | Predicate disambiguation | batch_69cc7a576ec88190bbb787eb82e2e539 |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:34 p.m.