Triple

T6908461
Position Surface form Disambiguated ID Type / Status
Subject S&P Latin America 40 E159870 entity
Predicate alsoKnownAs P39 FINISHED
Object S&P Latin America 40 Index E159870 NE FINISHED

How this triple was built (2 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: S&P Latin America 40 Index | Statement: [S&P Latin America 40, alsoKnownAs, S&P Latin America 40 Index]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S&P Latin America 40 Index
Context triple: [S&P Latin America 40, alsoKnownAs, S&P Latin America 40 Index]
  • A. S&P Latin America 40 chosen
    S&P Latin America 40 is a stock market index that tracks the performance of 40 leading large-cap companies from major Latin American markets.
  • B. MSCI Chile Index
    The MSCI Chile Index is a stock market index designed to measure the performance of the large- and mid-cap segments of the Chilean equity market for international investors.
  • C. S&P Europe 350
    S&P Europe 350 is a major stock market index that tracks the performance of 350 leading blue-chip companies across developed European markets.
  • D. Santiago Stock Exchange
    The Santiago Stock Exchange is Chile’s primary securities market and one of the largest and most important stock exchanges in Latin America.
  • E. S&P Asia 50
    S&P Asia 50 is a stock market index that tracks the performance of 50 leading blue-chip companies from major Asian markets.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9be98748190b5cb698e66e3aa42 completed March 27, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74901aee08190a5e132200fd58c05 completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:25 p.m.