Triple

T885925
Position Surface form Disambiguated ID Type / Status
Subject San Marino E19129 entity
Predicate ISO3166-1Alpha3 P189 FINISHED
Object SMR
SMR is the three-letter ISO 3166-1 alpha-3 country code assigned to San Marino.
E104583 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: SMR | Statement: [San Marino, ISO3166-1Alpha3, SMR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SMR
Context triple: [San Marino, ISO3166-1Alpha3, SMR]
  • A. SMF
    SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
  • B. SRB
    SRB is the commonly used abbreviation for Sveriges Riksbank, the central bank of Sweden and the world’s oldest central bank.
  • C. SAM
    SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
  • D. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • E. JMR
    JMR is a peer-reviewed ASME journal that publishes research on the design, analysis, and application of mechanisms and robotic 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: SMR
Triple: [San Marino, ISO3166-1Alpha3, SMR]
Generated description
SMR is the three-letter ISO 3166-1 alpha-3 country code assigned to San Marino.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SMR
Target entity description: SMR is the three-letter ISO 3166-1 alpha-3 country code assigned to San Marino.
  • A. SMF
    SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
  • B. SRB
    SRB is the commonly used abbreviation for Sveriges Riksbank, the central bank of Sweden and the world’s oldest central bank.
  • C. SAM
    SAM is an analytical laboratory aboard NASA's Curiosity rover that studies Martian rocks, soil, and atmosphere to determine their chemical and organic composition.
  • D. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • E. JMR
    JMR is a peer-reviewed ASME journal that publishes research on the design, analysis, and application of mechanisms and robotic 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ace714ec81909b0b1deaeac66be5 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c01f00f48190b954db4a0cb5baa8 completed March 4, 2026, 5:16 a.m.
NEDg Description generation batch_69a7c088506c81908a9e8ac91cb5b69d completed March 4, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_69a7c10c8c2881908a739fe824b48782 completed March 4, 2026, 5:20 a.m.
Created at: March 1, 2026, 7:39 p.m.