Triple

T9601260
Position Surface form Disambiguated ID Type / Status
Subject Games of the XXVII Olympiad E231854 entity
Predicate acronym P43 FINISHED
Object SOCOG
SOCOG was the Sydney Organising Committee responsible for planning and staging the 2000 Summer Olympic Games.
 E808339 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: SOCOG | Statement: [Games of the XXVII Olympiad, acronym, SOCOG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SOCOG
Context triple: [Games of the XXVII Olympiad, acronym, SOCOG]
  • A. SOCC
    SOCC is NASA Goddard Space Flight Center’s primary facility for monitoring, controlling, and managing spacecraft operations.
  • B. SCoE
    SCoE is the U.S. Army’s Sustainment Center of Excellence, responsible for developing doctrine, training, and capabilities for logistics and sustainment operations.
  • C. MCoE
    MCoE is the U.S. Army’s primary training and doctrine center for maneuver forces, integrating infantry, armor, and related capabilities at Fort Moore, Georgia.
  • D. COG
    COG is the three-letter ISO 3166-1 alpha-3 country code assigned to the Republic of the Congo.
  • E. SOCCENT
    SOCCENT is the U.S. Central Command’s theater special operations component responsible for planning and conducting special operations across the Middle East and Central Asia.
  • 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: SOCOG
Triple: [Games of the XXVII Olympiad, acronym, SOCOG]
Generated description
SOCOG was the Sydney Organising Committee responsible for planning and staging the 2000 Summer Olympic Games.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SOCOG
Target entity description: SOCOG was the Sydney Organising Committee responsible for planning and staging the 2000 Summer Olympic Games.
  • A. SOCC
    SOCC is NASA Goddard Space Flight Center’s primary facility for monitoring, controlling, and managing spacecraft operations.
  • B. SCoE
    SCoE is the U.S. Army’s Sustainment Center of Excellence, responsible for developing doctrine, training, and capabilities for logistics and sustainment operations.
  • C. MCoE
    MCoE is the U.S. Army’s primary training and doctrine center for maneuver forces, integrating infantry, armor, and related capabilities at Fort Moore, Georgia.
  • D. COG
    COG is the three-letter ISO 3166-1 alpha-3 country code assigned to the Republic of the Congo.
  • E. SOCCENT
    SOCCENT is the U.S. Central Command’s theater special operations component responsible for planning and conducting special operations across the Middle East and Central Asia.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a3a49608190ad1f65195e4d5cda completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d161a993c48190974bc787fafbe793 completed April 4, 2026, 7:08 p.m.
NEDg Description generation batch_69d1626fa5fc819096d49d81e0039a2f completed April 4, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69d16311f5308190b3413102571d3b4b completed April 4, 2026, 7:14 p.m.
Created at: March 30, 2026, 8:07 p.m.