Triple
T25276524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zambia national football team |
E633709
|
entity |
| Predicate | afcon2012HostCountry |
P159092
|
FINISHED |
| Object | Gabon |
—
|
NE NERFINISHED |
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: Gabon | Statement: [Zambia national football team, afcon2012HostCountry, Gabon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: afcon2012HostCountry Context triple: [Zambia national football team, afcon2012HostCountry, Gabon]
-
A.
afcon2012FinalResult
Indicates the outcome or final score of the 2012 Africa Cup of Nations championship match between the competing teams.
-
B.
afcon2012FinalOpponent
Indicates the opposing team that a given team faced in the final match of the 2012 Africa Cup of Nations.
-
C.
worldCupHost
Indicates that one entity serves as the host country or location for a particular FIFA World Cup tournament.
-
D.
lastHostCountry
Indicates the country that most recently hosted a particular event, activity, or entity.
-
E.
afconParticipation
Indicates that an entity took part in, qualified for, or was involved as a competitor in 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_69e75a92f48881909974ff9c11150a2e |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 21, 2026, 1:17 p.m.