Triple

T5869929
Position Surface form Disambiguated ID Type / Status
Subject Chicago Bliss E130488 entity
Predicate associatedLeagueAbbreviation P18681 FINISHED
Object LFL
LFL is the Legends Football League, a women's American football league featuring teams such as the Chicago Bliss.
 E550924 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: LFL | Statement: [Chicago Bliss, associatedLeagueAbbreviation, LFL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LFL
Context triple: [Chicago Bliss, associatedLeagueAbbreviation, LFL]
  • A. 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.
  • B. WFL
    WFL is the abbreviation for the World Football League, a short-lived professional American football league that operated in the mid-1970s.
  • C. LFLL
    LFLL is the ICAO airport code for Lyon–Saint-Exupéry Airport, a major international airport serving the city of Lyon in France.
  • D. Founders League
    Founders League is a New England prep school athletic conference comprising several elite independent boarding schools that compete in interscholastic sports.
  • E. LLFPA
    LLFPA is a U.S. federal law that strengthens workers’ ability to challenge pay discrimination by resetting the statute of limitations with each discriminatory paycheck.
  • 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: LFL
Triple: [Chicago Bliss, associatedLeagueAbbreviation, LFL]
Generated description
LFL is the Legends Football League, a women's American football league featuring teams such as the Chicago Bliss.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LFL
Target entity description: LFL is the Legends Football League, a women's American football league featuring teams such as the Chicago Bliss.
  • A. 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.
  • B. WFL
    WFL is the abbreviation for the World Football League, a short-lived professional American football league that operated in the mid-1970s.
  • C. LFLL
    LFLL is the ICAO airport code for Lyon–Saint-Exupéry Airport, a major international airport serving the city of Lyon in France.
  • D. Founders League
    Founders League is a New England prep school athletic conference comprising several elite independent boarding schools that compete in interscholastic sports.
  • E. LLFPA
    LLFPA is a U.S. federal law that strengthens workers’ ability to challenge pay discrimination by resetting the statute of limitations with each discriminatory paycheck.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035f6b8548190a58971b05869228d completed March 22, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1d39dd081908d77ee82c24178cf completed March 23, 2026, 2:13 a.m.
NEDg Description generation batch_69c0a223129081908288d90f7cf51668 completed March 23, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69c0a294ba748190a86ec8400df73237 completed March 23, 2026, 2:16 a.m.
Created at: March 22, 2026, 3:56 p.m.