Triple

T2717176
Position Surface form Disambiguated ID Type / Status
Subject BCS E59993 entity
Predicate alsoKnownAs P39 FINISHED
Object Santiago Exchange E9117 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: Santiago Exchange | Statement: [BCS, alsoKnownAs, Santiago Exchange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santiago Exchange
Context triple: [BCS, alsoKnownAs, Santiago Exchange]
  • A. Santiago Stock Exchange chosen
    The Santiago Stock Exchange is Chile’s primary securities market and one of the largest and most important stock exchanges in Latin America.
  • B. Bolsa de Valores de Montevideo
    Bolsa de Valores de Montevideo is the main securities exchange in Uruguay, facilitating the trading of stocks, bonds, and other financial instruments.
  • C. Bolsa Mexicana de Valores
    Bolsa Mexicana de Valores is Mexico’s main stock exchange, serving as the country’s central marketplace for trading equities and other financial instruments.
  • D. Santiago Oriente
    Santiago Oriente is an electoral district in Chile that encompasses several eastern communes of Santiago, known for being a predominantly affluent and urban area of the capital.
  • E. Belén Market
    Belén Market is a bustling open-air marketplace in Iquitos, Peru, known for its vibrant Amazonian produce, traditional medicines, and everyday goods sold along the riverfront.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abda964d4881908179b2a1b16411e4 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce8317fc8190ab3736b950b92495 completed March 10, 2026, 7:55 a.m.
Created at: March 6, 2026, 9:55 p.m.