Triple

T6718910
Position Surface form Disambiguated ID Type / Status
Subject SIX Swiss Exchange E153343 entity
Predicate mainIndex P12489 FINISHED
Object Swiss Market Index E474939 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: Swiss Market Index | Statement: [SIX Swiss Exchange, mainIndex, Swiss Market Index]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Swiss Market Index
Context triple: [SIX Swiss Exchange, mainIndex, 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. 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.
  • D. 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.
  • E. Deutscher Aktienindex
    Deutscher Aktienindex is Germany’s leading blue-chip stock market index, tracking the performance of the largest and most liquid companies listed on the Frankfurt Stock Exchange.
  • 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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d135d27c819088c45839ad0e7bab completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7009b9b64819095ae1a65cd72c374 completed March 27, 2026, 10:11 p.m.
Created at: March 27, 2026, 2:07 p.m.