Triple
T6611062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Women's Football Association |
E149237
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
WFA
WFA is the abbreviation for The Women's Football Association, the former governing body for women's football in England.
|
E608247
|
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: WFA | Statement: [The Women's Football Association, shortName, WFA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WFA Context triple: [The Women's Football Association, shortName, WFA]
-
A.
FAWC
FAWC is the commonly used acronym for the FA Women's Championship, the second tier of women's football in England.
-
B.
WFC
WFC is the stock ticker symbol for Wells Fargo & Company, a major American multinational financial services and banking institution.
-
C.
FWA
FWA is the commonly used abbreviation for Fort Wayne Assembly, an automotive manufacturing facility located in Fort Wayne, Indiana.
-
D.
WAFU
WAFU is the West African Football Union, a regional governing body for football in West Africa under the Confederation of African Football.
-
E.
WFL
WFL is the abbreviation for the World Football League, a short-lived professional American football league that operated in the mid-1970s.
- 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: WFA Triple: [The Women's Football Association, shortName, WFA]
Generated description
WFA is the abbreviation for The Women's Football Association, the former governing body for women's football in England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WFA Target entity description: WFA is the abbreviation for The Women's Football Association, the former governing body for women's football in England.
-
A.
FAWC
FAWC is the commonly used acronym for the FA Women's Championship, the second tier of women's football in England.
-
B.
WFC
WFC is the stock ticker symbol for Wells Fargo & Company, a major American multinational financial services and banking institution.
-
C.
FWA
FWA is the commonly used abbreviation for Fort Wayne Assembly, an automotive manufacturing facility located in Fort Wayne, Indiana.
-
D.
WAFU
WAFU is the West African Football Union, a regional governing body for football in West Africa under the Confederation of African Football.
-
E.
WFL
WFL is the abbreviation for the World Football League, a short-lived professional American football league that operated in the mid-1970s.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af34d9188190a40f682f985b0bac |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e43f14148190882b9b8f2f95e22c |
completed | March 27, 2026, 8:10 p.m. |
| NEDg | Description generation | batch_69c6e8584bd08190bb45747aca6e9327 |
completed | March 27, 2026, 8:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6e8dcc9bc819099ba39f67677195b |
completed | March 27, 2026, 8:30 p.m. |
Created at: March 27, 2026, 1:57 p.m.