Triple

T11772550
Position Surface form Disambiguated ID Type / Status
Subject Flöha station E279934 entity
Predicate hasStationCode P1289 FINISHED
Object DFL
DFL is the station code used to identify Flöha railway station in Germany’s rail network.
 E945812 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: DFL | Statement: [Flöha station, hasStationCode, DFL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DFL
Context triple: [Flöha station, hasStationCode, DFL]
  • A. DFL
    DFL (Deutsche Fußball Liga) is the governing body responsible for operating and marketing Germany’s top professional football leagues.
  • B. DFLZM
    DFLZM is the abbreviated name of Dongfeng Liuzhou Motor, a Chinese automobile manufacturer known for producing commercial vehicles and passenger cars.
  • C. UFL
    UFL is a common abbreviation for the University of Florida, a major public research university in Gainesville known for its strong academics and athletics.
  • D. 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.
  • E. LFL
    LFL is the Legends Football League, a women's American football league featuring teams such as the Chicago Bliss.
  • 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: DFL
Triple: [Flöha station, hasStationCode, DFL]
Generated description
DFL is the station code used to identify Flöha railway station in Germany’s rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DFL
Target entity description: DFL is the station code used to identify Flöha railway station in Germany’s rail network.
  • A. DFL
    DFL (Deutsche Fußball Liga) is the governing body responsible for operating and marketing Germany’s top professional football leagues.
  • B. DFLZM
    DFLZM is the abbreviated name of Dongfeng Liuzhou Motor, a Chinese automobile manufacturer known for producing commercial vehicles and passenger cars.
  • C. UFL
    UFL is a common abbreviation for the University of Florida, a major public research university in Gainesville known for its strong academics and athletics.
  • D. LFL
    LFL is the Legends Football League, a women's American football league featuring teams such as the Chicago Bliss.
  • E. 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.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55dfa088190a59b35d0247225e3 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09086c4ec81908bc8b707a49c3ac2 completed April 28, 2026, 10:48 a.m.
NEDg Description generation batch_69f0bd3cf8308190813003daa8cfba4a completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef02c930819086d139834ad4ed84 completed April 28, 2026, 5:31 p.m.
Created at: April 8, 2026, 9:41 p.m.