Triple

T3769895
Position Surface form Disambiguated ID Type / Status
Subject Single Supervisory Mechanism E82771 entity
Predicate shortName P43 FINISHED
Object SSM
SSM is the acronym for the Single Supervisory Mechanism, the European system for banking supervision led by the European Central Bank.
 E386344 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: SSM | Statement: [Single Supervisory Mechanism, shortName, SSM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SSM
Context triple: [Single Supervisory Mechanism, shortName, SSM]
  • A. MSS
    MSS is the Mobile Servicing System, a Canadian-built robotic arm and handling system used on the International Space Station for assembly, maintenance, and payload operations.
  • B. SSS
    SSS is the commonly used abbreviation for the Selective Service System, the U.S. government agency that maintains information on individuals potentially subject to military conscription.
  • C. SS3
    SS3 is an Italian state highway that forms part of the historic Via Flaminia route connecting Rome with central and northeastern Italy.
  • D. SAASS
    SAASS is a U.S. Air Force graduate-level school that provides advanced professional military education focused on air, space, and cyber power strategy.
  • E. SAS
    SAS is a high-speed, point-to-point serial interface standard commonly used to connect enterprise storage devices like hard drives and solid-state drives to servers.
  • 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: SSM
Triple: [Single Supervisory Mechanism, shortName, SSM]
Generated description
SSM is the acronym for the Single Supervisory Mechanism, the European system for banking supervision led by the European Central Bank.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SSM
Target entity description: SSM is the acronym for the Single Supervisory Mechanism, the European system for banking supervision led by the European Central Bank.
  • A. MSS
    MSS is the Mobile Servicing System, a Canadian-built robotic arm and handling system used on the International Space Station for assembly, maintenance, and payload operations.
  • B. SSS
    SSS is the commonly used abbreviation for the Selective Service System, the U.S. government agency that maintains information on individuals potentially subject to military conscription.
  • C. SS3
    SS3 is an Italian state highway that forms part of the historic Via Flaminia route connecting Rome with central and northeastern Italy.
  • D. SAASS
    SAASS is a U.S. Air Force graduate-level school that provides advanced professional military education focused on air, space, and cyber power strategy.
  • E. SAS
    SAS is a widely used statistical software suite for advanced analytics, business intelligence, data management, and predictive modeling.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc2f016c81909c2e3c85dbc3c259 completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5287908819084319b8dfa407635 completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e61c8dc881908e298528b1e42c0c completed March 14, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69b4e686bf2c8190aac01d6c1014c1d4 completed March 14, 2026, 4:39 a.m.
Created at: March 8, 2026, 3:35 p.m.