Triple

T8791067
Position Surface form Disambiguated ID Type / Status
Subject Sremska Mitrovica E209165 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object SM
SM is the vehicle registration code used on license plates for the city of Sremska Mitrovica in Serbia.
 E756473 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: SM | Statement: [Sremska Mitrovica, vehicleRegistrationCode, SM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SM
Context triple: [Sremska Mitrovica, vehicleRegistrationCode, SM]
  • A. .sm
    .sm is the country code top-level domain (ccTLD) assigned to the Republic of San Marino for use on the internet.
  • B. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • C. SV
    SV is the official abbreviation for the Slovenian Armed Forces, the military organization responsible for defending the Republic of Slovenia.
  • D. SV
    SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
  • E. SV
    SV is a Norwegian democratic socialist and environmentalist political party known for its left-wing stance on social justice, welfare, and climate policy.
  • 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: SM
Triple: [Sremska Mitrovica, vehicleRegistrationCode, SM]
Generated description
SM is the vehicle registration code used on license plates for the city of Sremska Mitrovica in Serbia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SM
Target entity description: SM is the vehicle registration code used on license plates for the city of Sremska Mitrovica in Serbia.
  • A. .sm
    .sm is the country code top-level domain (ccTLD) assigned to the Republic of San Marino for use on the internet.
  • B. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • C. SV
    SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
  • D. SV
    SV is the official abbreviation for the Slovenian Armed Forces, the military organization responsible for defending the Republic of Slovenia.
  • E. SV
    SV is a Norwegian democratic socialist and environmentalist political party known for its left-wing stance on social justice, welfare, and climate policy.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8e6e4881909155c40c52bc082c completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5220af84819095ddefd84fd9f369 completed April 3, 2026, 5:37 a.m.
NEDg Description generation batch_69cf5379dc748190a9b6522d7a68eed4 completed April 3, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cf54129d888190b61d67f99ad36cb8 completed April 3, 2026, 5:45 a.m.
Created at: March 30, 2026, 6:43 p.m.