Triple

T3535070
Position Surface form Disambiguated ID Type / Status
Subject Special Operations Command Europe E74750 entity
Predicate abbreviation P43 FINISHED
Object SOCEUR E367682 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: SOCEUR | Statement: [Special Operations Command Europe, abbreviation, SOCEUR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SOCEUR
Context triple: [Special Operations Command Europe, abbreviation, SOCEUR]
  • A. SOCEUR chosen
    SOCEUR is the United States Special Operations Command component responsible for overseeing and coordinating special operations forces in the European theater.
  • B. 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.
  • C. SOE
    SOE was a secret British World War II organization responsible for espionage, sabotage, and supporting resistance movements in enemy-occupied territories.
  • D. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • E. SCoE
    SCoE is the U.S. Army’s Sustainment Center of Excellence, responsible for developing doctrine, training, and capabilities for logistics and sustainment operations.
  • 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_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_69b3bb87c3748190bce62e86fcdfa380 completed March 13, 2026, 7:23 a.m.
Created at: March 8, 2026, 3:19 p.m.