Triple

T4445129
Position Surface form Disambiguated ID Type / Status
Subject Special Operations Command Korea E96266 entity
Predicate abbreviation P43 FINISHED
Object SOCKOR
SOCKOR is the United States military’s theater special operations command responsible for overseeing and coordinating special operations activities on the Korean Peninsula.
E438981 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: SOCKOR | Statement: [Special Operations Command Korea, abbreviation, SOCKOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SOCKOR
Context triple: [Special Operations Command Korea, abbreviation, SOCKOR]
  • A. SOCC
    SOCC is NASA Goddard Space Flight Center’s primary facility for monitoring, controlling, and managing spacecraft operations.
  • B. SoR
    SoR is the commonly used abbreviation for the Society of Rheology, a professional organization dedicated to the study of the flow and deformation of matter.
  • C. Sokar
    Sokar is an ancient Egyptian funerary god associated with the Memphite necropolis, the afterlife, and aspects of death and rebirth.
  • D. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • E. Sozh
    The Sozh is a major river in Eastern Europe that flows through Russia, Belarus, and Ukraine before joining the Dnieper.
  • 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: SOCKOR
Triple: [Special Operations Command Korea, abbreviation, SOCKOR]
Generated description
SOCKOR is the United States military’s theater special operations command responsible for overseeing and coordinating special operations activities on the Korean Peninsula.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SOCKOR
Target entity description: SOCKOR is the United States military’s theater special operations command responsible for overseeing and coordinating special operations activities on the Korean Peninsula.
  • A. SOCC
    SOCC is NASA Goddard Space Flight Center’s primary facility for monitoring, controlling, and managing spacecraft operations.
  • B. SoR
    SoR is the commonly used abbreviation for the Society of Rheology, a professional organization dedicated to the study of the flow and deformation of matter.
  • C. Sokar
    Sokar is an ancient Egyptian funerary god associated with the Memphite necropolis, the afterlife, and aspects of death and rebirth.
  • D. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • E. Sozh
    The Sozh is a major river in Eastern Europe that flows through Russia, Belarus, and Ukraine before joining the Dnieper.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d00c288190a4f3fec29b5d85b2 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b613850eb88190b689a632b0e2b374 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b61464b0dc81909cab007115435b8b completed March 15, 2026, 2:07 a.m.
NED2 Entity disambiguation (via description) batch_69b6151440648190bf8c1c95e20caf13 completed March 15, 2026, 2:10 a.m.
Created at: March 12, 2026, 11:32 p.m.