Triple

T14822861
Position Surface form Disambiguated ID Type / Status
Subject Socialist Republic of Slovenia E348498 entity
Predicate countryCode P208 FINISHED
Object SI
SI is the two-letter ISO 3166-1 alpha-2 country code for Slovenia, a Central European nation known for its mountains, lakes, and membership in the European Union.
 E1122906 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: SI | Statement: [Socialist Republic of Slovenia, countryCode, SI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SI
Context triple: [Socialist Republic of Slovenia, countryCode, SI]
  • A. SI
    SI is the vehicle registration code used on license plates for the German city of Siegen.
  • B. SI
    SI is the station code used to identify Santa Isabel station within the railway network.
  • C. SI
    SI is the abbreviation for Skeptical Inquirer, a magazine devoted to scientific skepticism, critical thinking, and the investigation of extraordinary claims.
  • D. SI
    SI is the globally accepted metric-based system of measurement used in science, industry, and everyday life.
  • E. SI
    SI is the post-nominal abbreviation used to denote recipients of Pakistan’s Sitara-e-Imtiaz, one of the country’s highest civilian honors.
  • 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: SI
Triple: [Socialist Republic of Slovenia, countryCode, SI]
Generated description
SI is the two-letter ISO 3166-1 alpha-2 country code for Slovenia, a Central European nation known for its mountains, lakes, and membership in the European Union.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SI
Target entity description: SI is the two-letter ISO 3166-1 alpha-2 country code for Slovenia, a Central European nation known for its mountains, lakes, and membership in the European Union.
  • A. SI
    SI is the abbreviation for Skeptical Inquirer, a magazine devoted to scientific skepticism, critical thinking, and the investigation of extraordinary claims.
  • B. SI
    SI is the globally accepted metric-based system of measurement used in science, industry, and everyday life.
  • C. SI
    SI is the post-nominal abbreviation used to denote recipients of Pakistan’s Sitara-e-Imtiaz, one of the country’s highest civilian honors.
  • D. SI
    SI is the vehicle registration code used on license plates for the German city of Siegen.
  • E. SI
    SI is the station code used to identify Santa Isabel station within the railway network.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decfe7a8dc8190bcb5ecfa1cbf1601 completed April 14, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe389d7c848190813be06bed7813d7 completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe5bc7e6848190a243bcfccaea3a37 completed May 8, 2026, 9:55 p.m.
NED2 Entity disambiguation (via description) batch_69fe5c271c6c8190bb4127cdf8af6647 completed May 8, 2026, 9:56 p.m.
Created at: April 10, 2026, 1:51 a.m.