Triple

T13190183
Position Surface form Disambiguated ID Type / Status
Subject S&P/TSX 60 Index E313962 entity
Predicate symbol P129 FINISHED
Object SXI
SXI is the ticker symbol used to represent the S&P/TSX 60 Index, a benchmark Canadian stock market index of 60 large, leading companies listed on the Toronto Stock Exchange.
E1026520 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: SXI | Statement: [S&P/TSX 60 Index, symbol, SXI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SXI
Context triple: [S&P/TSX 60 Index, symbol, SXI]
  • A. SXB
    SXB is the IATA airport code for Strasbourg Airport, the main international airport serving Strasbourg in northeastern France.
  • B. .IXIC
    .IXIC is the ticker symbol for the Nasdaq Composite Index, a major U.S. stock market index tracking thousands of equities listed on the Nasdaq stock exchange, heavily weighted toward technology companies.
  • C. SXF
    SXF is the standard abbreviation used for the Sioux Falls Skyforce, a professional basketball team in the NBA G League.
  • D. KIX
    KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
  • E. NXi
    NXi is Garmin’s enhanced generation of the G1000 integrated flight deck, featuring improved performance, graphics, and advanced avionics capabilities for modern aircraft.
  • 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: SXI
Triple: [S&P/TSX 60 Index, symbol, SXI]
Generated description
SXI is the ticker symbol used to represent the S&P/TSX 60 Index, a benchmark Canadian stock market index of 60 large, leading companies listed on the Toronto Stock Exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SXI
Target entity description: SXI is the ticker symbol used to represent the S&P/TSX 60 Index, a benchmark Canadian stock market index of 60 large, leading companies listed on the Toronto Stock Exchange.
  • A. SXB
    SXB is the IATA airport code for Strasbourg Airport, the main international airport serving Strasbourg in northeastern France.
  • B. .IXIC
    .IXIC is the ticker symbol for the Nasdaq Composite Index, a major U.S. stock market index tracking thousands of equities listed on the Nasdaq stock exchange, heavily weighted toward technology companies.
  • C. SXF
    SXF is the standard abbreviation used for the Sioux Falls Skyforce, a professional basketball team in the NBA G League.
  • D. KIX
    KIX is the three-letter IATA airport code for Kansai International Airport serving the Osaka region of Japan.
  • E. NXi
    NXi is Garmin’s enhanced generation of the G1000 integrated flight deck, featuring improved performance, graphics, and advanced avionics capabilities for modern aircraft.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c600ab48190bcf84aaf5846fb4b completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5fc4b78819088ad32d74dfb9d0a completed May 3, 2026, 7:15 a.m.
NEDg Description generation batch_69f6f6ba509c8190a99426ba4506d31f completed May 3, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6f812ae048190907b8def6b0d019c completed May 3, 2026, 7:24 a.m.
Created at: April 9, 2026, 9:15 p.m.