Triple

T2313919
Position Surface form Disambiguated ID Type / Status
Subject Netherlands Unix User Group E51018 entity
Predicate hasAbbreviation P43 FINISHED
Object NLLGG
NLLGG is a Dutch user group focused on promoting and supporting the use of Unix and Unix-like systems, including Linux, among enthusiasts and professionals in the Netherlands.
 E255540 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: NLLGG | Statement: [Netherlands Unix User Group, hasAbbreviation, NLLGG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NLLGG
Context triple: [Netherlands Unix User Group, hasAbbreviation, NLLGG]
  • A. NNL
    NNL is the commonly used abbreviation for the Negro National League, a pioneering professional baseball league that was a cornerstone of Negro league baseball in the early 20th century.
  • B. ZGGG
    ZGGG is the ICAO airport code for Guangzhou Baiyun International Airport, a major aviation hub serving Guangzhou in southern China.
  • C. GG
    GG was the original designation for New York City's G subway service, a crosstown line that runs through Brooklyn and Queens without entering Manhattan.
  • D. GG
    GG is the standard abbreviation for Germany’s constitution, the Basic Law for the Federal Republic of Germany.
  • E. GL
    GL is the postcode area in the United Kingdom that covers Cheltenham and surrounding parts of Gloucestershire.
  • 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: NLLGG
Triple: [Netherlands Unix User Group, hasAbbreviation, NLLGG]
Generated description
NLLGG is a Dutch user group focused on promoting and supporting the use of Unix and Unix-like systems, including Linux, among enthusiasts and professionals in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NLLGG
Target entity description: NLLGG is a Dutch user group focused on promoting and supporting the use of Unix and Unix-like systems, including Linux, among enthusiasts and professionals in the Netherlands.
  • A. NNL
    NNL is the commonly used abbreviation for the Negro National League, a pioneering professional baseball league that was a cornerstone of Negro league baseball in the early 20th century.
  • B. ZGGG
    ZGGG is the ICAO airport code for Guangzhou Baiyun International Airport, a major aviation hub serving Guangzhou in southern China.
  • C. GG
    GG was the original designation for New York City's G subway service, a crosstown line that runs through Brooklyn and Queens without entering Manhattan.
  • D. GG
    GG is the standard abbreviation for Germany’s constitution, the Basic Law for the Federal Republic of Germany.
  • E. GL
    GL is the postcode area in the United Kingdom that covers Cheltenham and surrounding parts of Gloucestershire.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc61c1ef08190911d5f58c2e91189 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae895f5420819087b403e9772dce9a completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8af65eb88190b17d74e7411967cc completed March 9, 2026, 8:55 a.m.
NED2 Entity disambiguation (via description) batch_69ae8ba02cec8190917c0e17d3fedb0e completed March 9, 2026, 8:58 a.m.
Created at: March 4, 2026, 7:49 p.m.