Triple

T3000629
Position Surface form Disambiguated ID Type / Status
Subject Służba Bezpieczeństwa E81177 entity
Predicate shortName P43 FINISHED
Object SB
SB was the communist-era secret police and intelligence service of the Polish People's Republic, known for surveillance, repression, and political control.
 E318843 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: SB | Statement: [Służba Bezpieczeństwa, shortName, SB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SB
Context triple: [Służba Bezpieczeństwa, shortName, SB]
  • A. SBRY
    SBRY is the London Stock Exchange ticker symbol for J Sainsbury plc, one of the United Kingdom’s largest supermarket and retail chains.
  • B. SRB
    SRB is the three-letter ISO 3166-1 alpha-3 country code assigned to Serbia.
  • C. SRB
    SRB is the commonly used abbreviation for Sveriges Riksbank, the central bank of Sweden and the world’s oldest central bank.
  • D. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • E. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • 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: SB
Triple: [Służba Bezpieczeństwa, shortName, SB]
Generated description
SB was the communist-era secret police and intelligence service of the Polish People's Republic, known for surveillance, repression, and political control.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SB
Target entity description: SB was the communist-era secret police and intelligence service of the Polish People's Republic, known for surveillance, repression, and political control.
  • A. SBRY
    SBRY is the London Stock Exchange ticker symbol for J Sainsbury plc, one of the United Kingdom’s largest supermarket and retail chains.
  • B. SRB
    SRB is the commonly used abbreviation for Sveriges Riksbank, the central bank of Sweden and the world’s oldest central bank.
  • C. SRB
    SRB is the three-letter ISO 3166-1 alpha-3 country code assigned to Serbia.
  • D. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • E. SL
    The Mercedes-Benz SL is a long-running line of luxury grand touring roadsters renowned for combining high performance with elegant design and advanced technology.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a1022e48190afee77db94635ff2 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e4b54188190bf900bf10061a57a completed March 11, 2026, 8:56 a.m.
NEDg Description generation batch_69b12f188c7c81908d1d575252dc4bda completed March 11, 2026, 9 a.m.
NED2 Entity disambiguation (via description) batch_69b1c9bccb3081909e6869b5cba68117 completed March 11, 2026, 7:59 p.m.
Created at: March 8, 2026, 2:59 p.m.