Triple

T10332899
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Defence of the Slovak Republic E242921 entity
Predicate shortName P43 FINISHED
Object MO SR
MO SR is the official abbreviation for the Ministry of Defence of the Slovak Republic, the government body responsible for national defense and the Slovak Armed Forces.
E857703 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: MO SR | Statement: [Ministry of Defence of the Slovak Republic, shortName, MO SR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MO SR
Context triple: [Ministry of Defence of the Slovak Republic, shortName, MO SR]
  • A. Mo
    Mo is a common shortened form of the given name Maureen.
  • B. MO
    MO is the U.S. Postal Service abbreviation for the state of Missouri.
  • C. MO
    MO is the two-letter ISO 3166 country code assigned to the Macao Special Administrative Region of China.
  • D. Mocs
    Mocs is the nickname for the University of Tennessee at Chattanooga's athletic teams, known for competing in NCAA Division I sports.
  • E. MoR
    MoR is the central government ministry in India responsible for the country’s railway network, policy, and administration.
  • 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: MO SR
Triple: [Ministry of Defence of the Slovak Republic, shortName, MO SR]
Generated description
MO SR is the official abbreviation for the Ministry of Defence of the Slovak Republic, the government body responsible for national defense and the Slovak Armed Forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MO SR
Target entity description: MO SR is the official abbreviation for the Ministry of Defence of the Slovak Republic, the government body responsible for national defense and the Slovak Armed Forces.
  • A. Mo
    Mo is a common shortened form of the given name Maureen.
  • B. MO
    MO is the U.S. Postal Service abbreviation for the state of Missouri.
  • C. MO
    MO is the two-letter ISO 3166 country code assigned to the Macao Special Administrative Region of China.
  • D. MO
    MO is the common abbreviation for Milicja Obywatelska, the state police force that operated in communist Poland from 1944 to 1990.
  • E. Mocs
    Mocs is the nickname for the University of Tennessee at Chattanooga's athletic teams, known for competing in NCAA Division I sports.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4dfc2b5a081908d700c5e199e24a7 completed April 7, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7504d49e88190b2739522f3ead702 completed April 9, 2026, 7:07 a.m.
NEDg Description generation batch_69d7618b0f2481908149596dc86d4593 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d77015ae688190870976309e2b912b completed April 9, 2026, 9:23 a.m.
Created at: April 6, 2026, 11:53 a.m.