Triple
T7827823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AFC Asian Cup Qualifiers |
E181289
|
entity |
| Predicate | subConfederationCoverage |
P14830
|
FINISHED |
| Object |
AFF
AFF is the ASEAN Football Federation, the regional governing body for football in Southeast Asia under the Asian Football Confederation.
|
E695301
|
NE FINISHED |
How this triple was built (4 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: AFF | Statement: [AFC Asian Cup Qualifiers, subConfederationCoverage, AFF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AFF Context triple: [AFC Asian Cup Qualifiers, subConfederationCoverage, AFF]
-
A.
AF
AF is a 16-bit register pair in the Zilog Z80 CPU that combines the accumulator (A) and the flags register (F) for arithmetic and logic operations.
-
B.
AF
AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
-
C.
AF
AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
-
D.
AAF
AAF is the common abbreviation for the Alliance of American Football, a short-lived professional American football league that operated in 2019.
-
E.
ADF
ADF is the concessional financing arm of the African Development Bank Group that provides low-interest loans and grants to support economic and social development in Africa’s poorest countries.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AFF Triple: [AFC Asian Cup Qualifiers, subConfederationCoverage, AFF]
Generated description
AFF is the ASEAN Football Federation, the regional governing body for football in Southeast Asia under the Asian Football Confederation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AFF Target entity description: AFF is the ASEAN Football Federation, the regional governing body for football in Southeast Asia under the Asian Football Confederation.
-
A.
AF
AF is a 16-bit register pair in the Zilog Z80 CPU that combines the accumulator (A) and the flags register (F) for arithmetic and logic operations.
-
B.
AF
AF is the two-letter ISO 3166-1 alpha-2 country code assigned to Afghanistan for international standardization and referencing.
-
C.
AF
AF is the two-letter IATA airline designator assigned to Air France, the flag carrier of France.
-
D.
AAF
AAF is the common abbreviation for the Alliance of American Football, a short-lived professional American football league that operated in 2019.
-
E.
ADF
ADF is the concessional financing arm of the African Development Bank Group that provides low-interest loans and grants to support economic and social development in Africa’s poorest countries.
- F. None of above. chosen
Provenance (5 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04a97d748190b1924890b1328bf1 |
completed | March 30, 2026, 11:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb14b60ea88190887cb33a484d0806 |
completed | March 31, 2026, 12:26 a.m. |
| NEDg | Description generation | batch_69cb1734e5d88190a3d894199ee2fbfe |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a6fc16c8190827593f58b9d742d |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:43 p.m.