Triple

T22597784
Position Surface form Disambiguated ID Type / Status
Subject Federation of Law Societies of Canada E574729 entity
Predicate abbreviation P43 FINISHED
Object FLSC
FLSC is the acronym for the Federation of Law Societies of Canada, the national coordinating body for Canada’s provincial and territorial law societies that regulate the legal profession.
 E1544048 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: FLSC | Statement: [Federation of Law Societies of Canada, abbreviation, FLSC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FLSC
Context triple: [Federation of Law Societies of Canada, abbreviation, FLSC]
  • A. FLS
    FLS is the station code for Flushing–Main Street, a major Long Island Rail Road terminal in Queens, New York City.
  • B. FLS
    FLS is the acronym for Forestry and Land Scotland, the Scottish Government agency responsible for managing Scotland’s national forests and land.
  • C. FSFLA
    FSFLA is the Latin American branch of the Free Software Foundation, dedicated to promoting and defending free software and users' digital freedoms across the region.
  • D. LFLC
    LFLC is the ICAO airport code for Clermont-Ferrand Auvergne Airport in central France.
  • E. LFLS
    LFLS is the ICAO airport code for Grenoble Alpes–Isère Airport, a regional airport serving the Grenoble area in southeastern France.
  • 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: FLSC
Triple: [Federation of Law Societies of Canada, abbreviation, FLSC]
Generated description
FLSC is the acronym for the Federation of Law Societies of Canada, the national coordinating body for Canada’s provincial and territorial law societies that regulate the legal profession.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FLSC
Target entity description: FLSC is the acronym for the Federation of Law Societies of Canada, the national coordinating body for Canada’s provincial and territorial law societies that regulate the legal profession.
  • A. FLS
    FLS is the station code for Flushing–Main Street, a major Long Island Rail Road terminal in Queens, New York City.
  • B. FLS
    FLS is the acronym for Forestry and Land Scotland, the Scottish Government agency responsible for managing Scotland’s national forests and land.
  • C. FSFLA
    FSFLA is the Latin American branch of the Free Software Foundation, dedicated to promoting and defending free software and users' digital freedoms across the region.
  • D. LFLC
    LFLC is the ICAO airport code for Clermont-Ferrand Auvergne Airport in central France.
  • E. LFLS
    LFLS is the ICAO airport code for Grenoble Alpes–Isère Airport, a regional airport serving the Grenoble area in southeastern France.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1626aa0808190a43e65f6aaabfeb4 completed April 29, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b3d63af408190b295665954b2ea6b completed May 18, 2026, 4:25 p.m.
NEDg Description generation batch_6a0b3e74d7d88190865bd33288c196b9 completed May 18, 2026, 4:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0b3f2ddb74819082d39650090efb03 completed May 18, 2026, 4:32 p.m.
Created at: April 17, 2026, 2:50 p.m.