Triple

T20553514
Position Surface form Disambiguated ID Type / Status
Subject Soesterberg Air Base E504656 entity
Predicate usedBy P260 FINISHED
Object USAFE NE NERFINISHED

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: USAFE | Statement: [Soesterberg Air Base, usedBy, USAFE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USAFE
Context triple: [Soesterberg Air Base, usedBy, USAFE]
  • A. USAFE chosen
    USAFE is the major command of the United States Air Force responsible for air operations, readiness, and support across Europe and parts of Africa.
  • B. USAAS
    USAAS is the abbreviation for the United States Army Airborne School, the institution responsible for training military personnel in parachute and airborne operations.
  • C. USAR
    USAR is the commonly used abbreviation for the United States Army Reserve, the federal reserve force of the U.S. Army composed of part-time soldiers who support active-duty operations.
  • D. USO
    USO is the commonly used abbreviation for US Orléans, a French professional football club based in Orléans.
  • E. USO
    The USO (United Service Organizations) is an American nonprofit that provides entertainment, support, and morale-boosting services to U.S. military personnel and their families worldwide.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5db052c8190801e53f6148113c8 completed April 20, 2026, 10:16 p.m.
Created at: April 16, 2026, 11:38 a.m.