Triple

T3535015
Position Surface form Disambiguated ID Type / Status
Subject Patch Barracks E74749 entity
Predicate hosts P186 FINISHED
Object SOCEUR
SOCEUR is the United States Special Operations Command component responsible for overseeing and coordinating special operations forces in the European theater.
 E367682 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: SOCEUR | Statement: [Patch Barracks, hosts, SOCEUR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SOCEUR
Context triple: [Patch Barracks, hosts, SOCEUR]
  • A. soca
    Soca is a lively Caribbean music genre that blends calypso with Indian and other global influences, known for its upbeat rhythms and central role in Carnival celebrations.
  • B. SOE
    SOE was a secret British World War II organization responsible for espionage, sabotage, and supporting resistance movements in enemy-occupied territories.
  • C. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • D. SCoE
    SCoE is the U.S. Army’s Sustainment Center of Excellence, responsible for developing doctrine, training, and capabilities for logistics and sustainment operations.
  • E. Soco
    "Soco" is a hit Afrobeats single by Nigerian artist Wizkid, known for its infectious rhythm and for popularizing the Starboy collective sound.
  • 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: SOCEUR
Triple: [Patch Barracks, hosts, SOCEUR]
Generated description
SOCEUR is the United States Special Operations Command component responsible for overseeing and coordinating special operations forces in the European theater.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SOCEUR
Target entity description: SOCEUR is the United States Special Operations Command component responsible for overseeing and coordinating special operations forces in the European theater.
  • A. soca
    Soca is a lively Caribbean music genre that blends calypso with Indian and other global influences, known for its upbeat rhythms and central role in Carnival celebrations.
  • B. SOE
    SOE was a secret British World War II organization responsible for espionage, sabotage, and supporting resistance movements in enemy-occupied territories.
  • C. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • D. SCoE
    SCoE is the U.S. Army’s Sustainment Center of Excellence, responsible for developing doctrine, training, and capabilities for logistics and sustainment operations.
  • E. Soco
    "Soco" is a hit Afrobeats single by Nigerian artist Wizkid, known for its infectious rhythm and for popularizing the Starboy collective sound.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcc4c1d081908938efb71938e1a3 completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bcf7ffc81909242cf67f5aa7b3d completed March 13, 2026, 4 a.m.
NEDg Description generation batch_69b38d8287408190933884c2b7bff312 completed March 13, 2026, 4:07 a.m.
NED2 Entity disambiguation (via description) batch_69b38ddfce348190b5a7d9abdb7a6826 completed March 13, 2026, 4:09 a.m.
Created at: March 8, 2026, 3:19 p.m.