Triple

T21752233
Position Surface form Disambiguated ID Type / Status
Subject SMI 20 E536942 entity
Predicate fullName P16 FINISHED
Object Swiss Market Index NE NERFINISHED

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: Swiss Market Index | Statement: [SMI 20, fullName, Swiss Market Index]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swiss Market Index
Context triple: [SMI 20, fullName, Swiss Market Index]
  • A. Swiss Market Index chosen
    The Swiss Market Index is Switzerland’s leading stock market benchmark, comprising the largest and most liquid blue-chip companies traded on the SIX Swiss Exchange.
  • B. Euro Stoxx 50
    The Euro Stoxx 50 is a leading blue-chip stock market index that tracks the performance of 50 major companies from countries within the eurozone.
  • C. STOXX Europe 600
    STOXX Europe 600 is a major pan-European stock market index that tracks the performance of 600 large, mid, and small-cap companies across 17 European countries.
  • D. SIX Swiss Exchange
    SIX Swiss Exchange is Switzerland’s principal stock exchange, known for listing major Swiss companies and operating as a key financial hub in Europe.
  • E. IBEX 35
    IBEX 35 is Spain’s benchmark stock market index, comprising the 35 most liquid and highly capitalized companies traded on the Bolsa de Madrid.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d8b8b9c8190b1f6a8bc25d69dbb completed April 28, 2026, 2:38 a.m.
Created at: April 16, 2026, 6:50 p.m.