Triple

T677337
Position Surface form Disambiguated ID Type / Status
Subject Saint Lucia E13106 entity
Predicate iso3166-1Alpha3 P189 FINISHED
Object LCA
LCA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Lucia.
 E83412 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: LCA | Statement: [Saint Lucia, iso3166-1Alpha3, LCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LCA
Context triple: [Saint Lucia, iso3166-1Alpha3, LCA]
  • A. Dijkstra
    Dijkstra is a renowned Dutch computer scientist best known for his pioneering work in algorithms, including Dijkstra's shortest path algorithm, and for his influential contributions to programming methodology and software engineering.
  • B. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • C. LCTES
    LCTES (Languages, Compilers, and Tools for Embedded Systems) is an ACM SIGPLAN-sponsored conference focused on programming languages, compilation techniques, and software tools for embedded and real-time systems.
  • D. LCAU
    LCAU is the Leventhal Center for Advanced Urbanism at MIT, a research hub focused on innovative approaches to urban design, planning, and policy.
  • E. LPC
    The LPC is New York City’s official agency responsible for identifying, designating, and regulating the city’s landmarks and historic districts.
  • 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: LCA
Triple: [Saint Lucia, iso3166-1Alpha3, LCA]
Generated description
LCA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Lucia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LCA
Target entity description: LCA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Lucia.
  • A. Dijkstra
    Dijkstra is a renowned Dutch computer scientist best known for his pioneering work in algorithms, including Dijkstra's shortest path algorithm, and for his influential contributions to programming methodology and software engineering.
  • B. LCC
    LCC is a comprehensive library classification system developed by the Library of Congress to organize and arrange books and other materials by subject.
  • C. LCTES
    LCTES (Languages, Compilers, and Tools for Embedded Systems) is an ACM SIGPLAN-sponsored conference focused on programming languages, compilation techniques, and software tools for embedded and real-time systems.
  • D. LCAU
    LCAU is the Leventhal Center for Advanced Urbanism at MIT, a research hub focused on innovative approaches to urban design, planning, and policy.
  • E. LPC
    The LPC is New York City’s official agency responsible for identifying, designating, and regulating the city’s landmarks and historic districts.
  • 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_69a4933d3bf88190972041cd8cf143b9 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a04c89148190b6330e86697bb37b completed March 1, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5c3a38b188190802394a35c83b10b completed March 2, 2026, 5:06 p.m.
NEDg Description generation batch_69a5c4482584819083b6b84ae8bf9b26 completed March 2, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_69a5cd4023288190b35ecf295eb58dc1 completed March 2, 2026, 5:47 p.m.
Created at: March 1, 2026, 7:36 p.m.