Triple

T6718911
Position Surface form Disambiguated ID Type / Status
Subject SIX Swiss Exchange E153343 entity
Predicate abbreviation P43 FINISHED
Object SMI
SMI is the Swiss Market Index, a leading stock market index that tracks the performance of major blue-chip companies listed on the SIX Swiss Exchange.
 E614531 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: SMI | Statement: [SIX Swiss Exchange, abbreviation, SMI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SMI
Context triple: [SIX Swiss Exchange, abbreviation, SMI]
  • A. SMI
    SMI is the vehicle registration code assigned to the town of Mikołów in Poland.
  • B. SMI 20
    SMI 20 is a major Swiss stock market index comprising the 20 largest and most liquid companies listed on the SIX Swiss Exchange.
  • C. SMO
    SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
  • D. SMF
    SMF (System Management Facilities) is an IBM z/OS component that collects and records system and workload performance data for monitoring, accounting, and capacity planning.
  • E. SMF
    SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
  • 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: SMI
Triple: [SIX Swiss Exchange, abbreviation, SMI]
Generated description
SMI is the Swiss Market Index, a leading stock market index that tracks the performance of major blue-chip companies listed on the SIX Swiss Exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SMI
Target entity description: SMI is the Swiss Market Index, a leading stock market index that tracks the performance of major blue-chip companies listed on the SIX Swiss Exchange.
  • A. SMI
    SMI is the vehicle registration code assigned to the town of Mikołów in Poland.
  • B. SMI 20
    SMI 20 is a major Swiss stock market index comprising the 20 largest and most liquid companies listed on the SIX Swiss Exchange.
  • C. SMO
    SMO is the IATA airport code for Santa Monica Airport, a general aviation facility located in Santa Monica, California.
  • D. SMF
    SMF (System Management Facilities) is an IBM z/OS component that collects and records system and workload performance data for monitoring, accounting, and capacity planning.
  • E. SMF
    SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
  • 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_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.
NEDg Description generation batch_69c705220cb0819081a70175c150d138 completed March 27, 2026, 10:30 p.m.
NED2 Entity disambiguation (via description) batch_69c705dc56c8819081584f3bec142ff9 completed March 27, 2026, 10:34 p.m.
Created at: March 27, 2026, 2:07 p.m.