Triple
T35136463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1972 African Cup of Nations |
E1014585
|
entity |
| Predicate | countryOfFinalists |
P101377
|
FINISHED |
| Object | Congo |
E45036
|
NE 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: Congo | Statement: [1972 African Cup of Nations, countryOfFinalists, Congo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfFinalists Context triple: [1972 African Cup of Nations, countryOfFinalists, Congo]
-
A.
countryOfBothFinalists
chosen
Indicates that the referenced country is the national affiliation shared by both finalists in a given competition or event.
-
B.
finalsCountry
Indicates that a country participated in the final round of a competition or tournament.
-
C.
countryRepresented
Indicates that one entity serves as the official representative (such as an athlete, diplomat, or delegate) of a specific country in a given context or event.
-
D.
grandFinalCountry
Indicates that a country is the host or location associated with the grand final of a competition or event.
-
E.
countryRepresenting
Indicates that one entity serves as the official representative or acting country on behalf of another entity in a given context.
- F. None of above.
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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a01ac8b4ac881908aa52079c985ddac |
completed | May 11, 2026, 10:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a380f9396848190a73091868669bafc |
completed | June 21, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_6a01aa7fa7b48190b4911aa6bcabe7eb |
completed | May 11, 2026, 10:07 a.m. |
Created at: May 3, 2026, 4:02 p.m.