Triple

T1298352
Position Surface form Disambiguated ID Type / Status
Subject Swiss National Bank E27704 entity
Predicate abbreviation P43 FINISHED
Object SNB
SNB is the central bank of Switzerland responsible for the country’s monetary policy and the stability of the Swiss financial system.
E148356 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: SNB | Statement: [Swiss National Bank, abbreviation, SNB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SNB
Context triple: [Swiss National Bank, abbreviation, SNB]
  • A. NSB
    NSB is the acronym for the National Science Board, the governing body that advises the U.S. government on national science and engineering policy and oversees the National Science Foundation.
  • B. SN
    SN is the commonly used abbreviated form of the Ukrainian political party and former television series "Servant of the People."
  • C. GNB
    GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
  • D. SNIP
    SNIP (Source Normalized Impact per Paper) is a bibliometric indicator that measures a journal’s contextual citation impact by accounting for differences in citation practices across scientific fields.
  • E. SRB
    SRB is the three-letter ISO 3166-1 alpha-3 country code assigned to Serbia.
  • 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: SNB
Triple: [Swiss National Bank, abbreviation, SNB]
Generated description
SNB is the central bank of Switzerland responsible for the country’s monetary policy and the stability of the Swiss financial system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SNB
Target entity description: SNB is the central bank of Switzerland responsible for the country’s monetary policy and the stability of the Swiss financial system.
  • A. NSB
    NSB is the acronym for the National Science Board, the governing body that advises the U.S. government on national science and engineering policy and oversees the National Science Foundation.
  • B. SN
    SN is the commonly used abbreviated form of the Ukrainian political party and former television series "Servant of the People."
  • C. GNB
    GNB is the commonly used abbreviation for the Good News Bible, a modern English translation of the Christian Bible known for its clear and simple language.
  • D. SNIP
    SNIP (Source Normalized Impact per Paper) is a bibliometric indicator that measures a journal’s contextual citation impact by accounting for differences in citation practices across scientific fields.
  • E. SRB
    SRB is the three-letter ISO 3166-1 alpha-3 country code assigned to Serbia.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c111a76c81909e6b914694986251 completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacc631b88190853948eeb5f24527 completed March 7, 2026, 10:55 p.m.
NEDg Description generation batch_69acad4a7cd48190b295dbd1e5327a18 completed March 7, 2026, 10:57 p.m.
NED2 Entity disambiguation (via description) batch_69acadba2e54819088a04675493fcbbb completed March 7, 2026, 10:59 p.m.
Created at: March 1, 2026, 7:51 p.m.