Triple

T4760614
Position Surface form Disambiguated ID Type / Status
Subject Ibero-American Summit E105688 entity
Predicate acronym P43 FINISHED
Object SEGIB
SEGIB is the Ibero-American General Secretariat, an international organization that supports political, economic, and cultural cooperation among Spanish- and Portuguese-speaking countries in Europe and the Americas.
 E466884 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: SEGIB | Statement: [Ibero-American Summit, acronym, SEGIB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SEGIB
Context triple: [Ibero-American Summit, acronym, SEGIB]
  • A. GIB
    GIB is the IATA airport code for Gibraltar International Airport, which serves the British Overseas Territory of Gibraltar.
  • B. SEGU
    SEGU is the ICAO airport code for José Joaquín de Olmedo International Airport, the main air gateway serving Guayaquil, Ecuador.
  • C. SEGOB
    SEGOB is the Mexican federal government ministry responsible for internal affairs, domestic policy, and governance.
  • D. SBGI
    SBGI is the stock ticker symbol for Sinclair Broadcast Group, a major American telecommunications company and television station owner.
  • E. SEBL
    SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
  • 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: SEGIB
Triple: [Ibero-American Summit, acronym, SEGIB]
Generated description
SEGIB is the Ibero-American General Secretariat, an international organization that supports political, economic, and cultural cooperation among Spanish- and Portuguese-speaking countries in Europe and the Americas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SEGIB
Target entity description: SEGIB is the Ibero-American General Secretariat, an international organization that supports political, economic, and cultural cooperation among Spanish- and Portuguese-speaking countries in Europe and the Americas.
  • A. GIB
    GIB is the IATA airport code for Gibraltar International Airport, which serves the British Overseas Territory of Gibraltar.
  • B. SEGU
    SEGU is the ICAO airport code for José Joaquín de Olmedo International Airport, the main air gateway serving Guayaquil, Ecuador.
  • C. SEGOB
    SEGOB is the Mexican federal government ministry responsible for internal affairs, domestic policy, and governance.
  • D. SBGI
    SBGI is the stock ticker symbol for Sinclair Broadcast Group, a major American telecommunications company and television station owner.
  • E. SEBL
    SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
  • 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_69bd43f14cac819081c7c69803648211 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd650dc7fc81909b483ef3c456ae0d completed March 20, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a7c72c48190a562d6261e323b4b completed March 21, 2026, 6:28 a.m.
NEDg Description generation batch_69be3c81c7b4819099d2627e7aa1611c completed March 21, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_69be3d0aa1d48190a2af91d251cb5561 completed March 21, 2026, 6:39 a.m.
Created at: March 20, 2026, 1:20 p.m.