Triple
T16425967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World League of American Football |
E398943
|
entity |
| Predicate | officialAbbreviation |
P3776
|
FINISHED |
| Object |
WLAF
WLAF was a short-lived professional American football league backed by the NFL that operated in North America and Europe in the early 1990s.
|
E1212070
|
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: WLAF | Statement: [World League of American Football, officialAbbreviation, WLAF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WLAF Context triple: [World League of American Football, officialAbbreviation, WLAF]
-
A.
WFL
WFL is the abbreviation for the World Football League, a short-lived professional American football league that operated in the mid-1970s.
-
B.
WFA
WFA is the abbreviation for The Women's Football Association, the former governing body for women's football in England.
-
C.
KFWA
KFWA is the ICAO airport code for Fort Wayne International Airport, a public airport serving the Fort Wayne, Indiana area.
-
D.
WAC
WAC is the National Rail station code for Warrington Central railway station in Cheshire, England.
-
E.
WAC
WAC is a collegiate athletic conference in the United States that sponsors NCAA Division I sports across multiple member universities.
- 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: WLAF Triple: [World League of American Football, officialAbbreviation, WLAF]
Generated description
WLAF was a short-lived professional American football league backed by the NFL that operated in North America and Europe in the early 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WLAF Target entity description: WLAF was a short-lived professional American football league backed by the NFL that operated in North America and Europe in the early 1990s.
-
A.
WFL
WFL is the abbreviation for the World Football League, a short-lived professional American football league that operated in the mid-1970s.
-
B.
WFA
WFA is the abbreviation for The Women's Football Association, the former governing body for women's football in England.
-
C.
KFWA
KFWA is the ICAO airport code for Fort Wayne International Airport, a public airport serving the Fort Wayne, Indiana area.
-
D.
WAC
WAC is the National Rail station code for Warrington Central railway station in Cheshire, England.
-
E.
WAC
WAC is a collegiate athletic conference in the United States that sponsors NCAA Division I sports across multiple member universities.
- 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328faa7448190a2606f1b37ea0a3d |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c7273e48190b0668948141cf30b |
completed | May 10, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_6a003ef320e4819094cfa05fc1a40cbd |
completed | May 10, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00404955f88190a4863f8527a69d6f |
completed | May 10, 2026, 8:22 a.m. |
Created at: April 10, 2026, 5:09 a.m.