Triple

T7703957
Position Surface form Disambiguated ID Type / Status
Subject Stiftung Berliner Mauer E174566 entity
Predicate hasAbbreviation P43 FINISHED
Object SBM
SBM is the abbreviation for the Stiftung Berliner Mauer, a foundation dedicated to preserving and commemorating the history and legacy of the Berlin Wall.
 E683005 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: SBM | Statement: [Stiftung Berliner Mauer, hasAbbreviation, SBM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SBM
Context triple: [Stiftung Berliner Mauer, hasAbbreviation, SBM]
  • A. SBT
    SBT (Simple Build Tool) is the standard build and project management tool for Scala, providing compilation, testing, dependency management, and packaging for Scala applications.
  • B. SB
    SB is the abbreviated name for the School of Basic Sciences, an academic unit focused on foundational scientific disciplines.
  • C. SB
    SB is the vehicle registration code used on license plates for cars registered in the city of Bielsko-Biała in southern Poland.
  • D. SB
    SB was the communist-era secret police and intelligence service of the Polish People's Republic, known for surveillance, repression, and political control.
  • E. SBV
    SBV is the central bank of Vietnam, responsible for issuing the national currency and overseeing the country’s monetary and banking systems.
  • 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: SBM
Triple: [Stiftung Berliner Mauer, hasAbbreviation, SBM]
Generated description
SBM is the abbreviation for the Stiftung Berliner Mauer, a foundation dedicated to preserving and commemorating the history and legacy of the Berlin Wall.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SBM
Target entity description: SBM is the abbreviation for the Stiftung Berliner Mauer, a foundation dedicated to preserving and commemorating the history and legacy of the Berlin Wall.
  • A. SBT
    SBT (Simple Build Tool) is the standard build and project management tool for Scala, providing compilation, testing, dependency management, and packaging for Scala applications.
  • B. SB
    SB is the abbreviated name for the School of Basic Sciences, an academic unit focused on foundational scientific disciplines.
  • C. SB
    SB is the vehicle registration code used on license plates for cars registered in the city of Bielsko-Biała in southern Poland.
  • D. SB
    SB was the communist-era secret police and intelligence service of the Polish People's Republic, known for surveillance, repression, and political control.
  • E. SBV
    SBV is the central bank of Vietnam, responsible for issuing the national currency and overseeing the country’s monetary and banking systems.
  • 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_69c6995a72cc8190998e56daa6f8e453 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7028d72708190a8c8aa94a7ec905b completed March 27, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acc088148190ba5ba07e4ad2284c completed March 29, 2026, 4:38 a.m.
NEDg Description generation batch_69c8ae313d4c8190964be233c0651f3a completed March 29, 2026, 4:44 a.m.
NED2 Entity disambiguation (via description) batch_69c8aea55c0081909aa0f6c96c8d6a03 completed March 29, 2026, 4:46 a.m.
Created at: March 27, 2026, 4:03 p.m.