Triple

T766787
Position Surface form Disambiguated ID Type / Status
Subject Spanish Air Force E16192 entity
Predicate shortName P43 FINISHED
Object EdA
EdA is the commonly used abbreviation for the Spanish Air and Space Force, the aerial warfare branch of Spain's armed forces.
E91503 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: EdA | Statement: [Spanish Air Force, shortName, EdA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EdA
Context triple: [Spanish Air Force, shortName, EdA]
  • A. Ed
    Ed is a common masculine given name, typically used as a short form of names such as Edward, Edwin, or Edmund.
  • B. EDV
    EDV is the ICAO airline designator used to identify Endeavor Air in international aviation operations.
  • C. DA
    DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
  • D. EAO
    EAO is the acronym for the European Audiovisual Observatory, an organization that collects and disseminates data and analysis on the audiovisual industry in Europe.
  • E. ECA
    The Economic Cooperation Administration (ECA) was the U.S. government agency responsible for administering the Marshall Plan to aid European economic recovery after World War II.
  • 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: EdA
Triple: [Spanish Air Force, shortName, EdA]
Generated description
EdA is the commonly used abbreviation for the Spanish Air and Space Force, the aerial warfare branch of Spain's armed forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EdA
Target entity description: EdA is the commonly used abbreviation for the Spanish Air and Space Force, the aerial warfare branch of Spain's armed forces.
  • A. Ed
    Ed is a common masculine given name, typically used as a short form of names such as Edward, Edwin, or Edmund.
  • B. EDV
    EDV is the ICAO airline designator used to identify Endeavor Air in international aviation operations.
  • C. DA
    DA is the official abbreviation for the United States Department of the Army, the federal agency responsible for organizing, training, and equipping the U.S. Army.
  • D. EAO
    EAO is the acronym for the European Audiovisual Observatory, an organization that collects and disseminates data and analysis on the audiovisual industry in Europe.
  • E. ECA
    The Economic Cooperation Administration (ECA) was the U.S. government agency responsible for administering the Marshall Plan to aid European economic recovery after World War II.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a6a0fee08190bf365d14c007e008 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a666760a4c8190afd00dbfc263be28 completed March 3, 2026, 4:41 a.m.
NEDg Description generation batch_69a66a6289a881909a2ada9c8a5ea091 completed March 3, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69a66ad0da0081909fc828eccabf5b80 completed March 3, 2026, 5 a.m.
Created at: March 1, 2026, 7:37 p.m.