Triple

T11346514
Position Surface form Disambiguated ID Type / Status
Subject Yokosuka Naval Base E268728 entity
Predicate alsoKnownAs P39 FINISHED
Object CFAY
CFAY is the U.S. Navy’s Fleet Activities Yokosuka, a major naval installation in Japan that serves as the home port for the U.S. Seventh Fleet.
 E920086 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: CFAY | Statement: [Yokosuka Naval Base, alsoKnownAs, CFAY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CFAY
Context triple: [Yokosuka Naval Base, alsoKnownAs, CFAY]
  • A. CAF
    CAF is the commonly used acronym for the Canadian Armed Forces, the unified military organization responsible for defending Canada and supporting international peace and security operations.
  • B. CAF
    CAF is an abbreviation that can refer to various organizations or groups, most notably the Cactus Air Force, a World War II Allied air unit based on Guadalcanal.
  • C. CAF
    CAF is a multilateral development bank that finances sustainable development and regional integration projects across Latin America and the Caribbean.
  • D. CAF
    CAF is the acronym for "Comando de Apoyo a la Fuerza," a military support command unit within the Spanish Armed Forces.
  • E. CAF
    CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
  • 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: CFAY
Triple: [Yokosuka Naval Base, alsoKnownAs, CFAY]
Generated description
CFAY is the U.S. Navy’s Fleet Activities Yokosuka, a major naval installation in Japan that serves as the home port for the U.S. Seventh Fleet.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CFAY
Target entity description: CFAY is the U.S. Navy’s Fleet Activities Yokosuka, a major naval installation in Japan that serves as the home port for the U.S. Seventh Fleet.
  • A. CAF
    CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
  • B. CAF
    CAF is an abbreviation that can refer to various organizations or groups, most notably the Cactus Air Force, a World War II Allied air unit based on Guadalcanal.
  • C. CAF
    CAF is the commonly used abbreviation for the Chief of Air Force, the professional head of an air force service.
  • D. CAF
    CAF is a multilateral development bank that finances sustainable development and regional integration projects across Latin America and the Caribbean.
  • E. CAF
    CAF is the acronym for "Comando de Apoyo a la Fuerza," a military support command unit within the Spanish Armed Forces.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea214bb88190bb66f7fd3ef73081 completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5437fb1208190892fa6b05c92478e completed April 19, 2026, 9:05 p.m.
NEDg Description generation batch_69e548bb7be4819093aeeaf0c048033e completed April 19, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69e54eeba4a88190af128a99c277853a completed April 19, 2026, 9:53 p.m.
Created at: April 8, 2026, 9:33 p.m.