Triple

T4661499
Position Surface form Disambiguated ID Type / Status
Subject General Secretariat of SICA E102542 entity
Predicate abbreviation P43 FINISHED
Object SG-SICA E99167 NE FINISHED

How this triple was built (2 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: SG-SICA | Statement: [General Secretariat of SICA, abbreviation, SG-SICA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SG-SICA
Context triple: [General Secretariat of SICA, abbreviation, SG-SICA]
  • A. SICA chosen
    SICA is a regional organization that promotes political, economic, and social integration among Central American countries.
  • B. SIAC
    SIAC is a collegiate athletic conference in the United States composed primarily of historically Black colleges and universities competing in NCAA Division II sports.
  • C. SGC
    SGC is the station code for St George's Cross, a Glasgow Subway station in Scotland.
  • D. SIS
    SIS is the commonly used abbreviation for the United Kingdom’s Secret Intelligence Service, the foreign intelligence agency often referred to as MI6.
  • E. SCIAC
    SCIAC is an NCAA Division III athletic conference composed of small private colleges and universities in Southern California.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43d823288190952279faa0d1d066 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd632b7fb88190821f213620719d6b completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be037c67108190bdae034832dc7b41 completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:15 p.m.