Triple

T22060187
Position Surface form Disambiguated ID Type / Status
Subject BPEL E545129 entity
Predicate originatedFrom P409 FINISHED
Object WSFL
WSFL (Web Services Flow Language) is an early IBM XML-based language for describing the composition and orchestration of web services, which influenced later standards like BPEL.
 E1516383 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: WSFL | Statement: [BPEL, originatedFrom, WSFL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WSFL
Context triple: [BPEL, originatedFrom, WSFL]
  • 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. NWFL
    NWFL is the top-tier professional women's football league system in Nigeria, organizing and overseeing elite women's club competitions in the country.
  • C. FCSL
    FCSL is the commonly used abbreviation for FC Slovan Liberec, a professional football club based in Liberec, Czech Republic.
  • D. NWCFL
    NWCFL is an abbreviation for the North West Counties League, a regional football league in the English football league system.
  • 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
  • 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: WSFL
Triple: [BPEL, originatedFrom, WSFL]
Generated description
WSFL (Web Services Flow Language) is an early IBM XML-based language for describing the composition and orchestration of web services, which influenced later standards like BPEL.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WSFL
Target entity description: WSFL (Web Services Flow Language) is an early IBM XML-based language for describing the composition and orchestration of web services, which influenced later standards like BPEL.
  • 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. NWFL
    NWFL is the top-tier professional women's football league system in Nigeria, organizing and overseeing elite women's club competitions in the country.
  • C. FCSL
    FCSL is the commonly used abbreviation for FC Slovan Liberec, a professional football club based in Liberec, Czech Republic.
  • D. NWCFL
    NWCFL is an abbreviation for the North West Counties League, a regional football league in the English football league system.
  • 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285ba1c88190b4bc0c73f3cf04e1 completed April 28, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80a92ee081909d5119a99d83e064 completed May 18, 2026, 2:59 a.m.
NEDg Description generation batch_6a0a8187516481909d8075dfc025614e completed May 18, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0a8267498481908a2ba238fcdc1547 completed May 18, 2026, 3:07 a.m.
Created at: April 16, 2026, 8:27 p.m.