Triple
T11558970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Football League |
E274086
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | WFL |
E274086
|
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: WFL | Statement: [World Football League, abbreviation, WFL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WFL Context triple: [World Football League, abbreviation, WFL]
-
A.
WFL
chosen
WFL is the abbreviation for the World Football League, a short-lived professional American football league that operated in the mid-1970s.
-
B.
LFL
LFL is the former New York Stock Exchange ticker symbol for LAN Airlines, a major Chilean airline that later became part of LATAM Airlines Group.
-
C.
LFL
LFL is the Legends Football League, a women's American football league featuring teams such as the Chicago Bliss.
-
D.
XFL
XFL is a professional American football league that serves as an alternative to the NFL, featuring modified rules and a focus on fan engagement and innovation.
-
E.
WFA
WFA is the abbreviation for The Women's Football Association, the former governing body for women's football in England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a888e8481909386009b9603e4d3 |
completed | April 10, 2026, 5:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e88b84d48190948243646bb5fd2b |
completed | April 21, 2026, 3:01 a.m. |
Created at: April 8, 2026, 9:37 p.m.