Triple

T4124061
Position Surface form Disambiguated ID Type / Status
Subject Spanish Republican Air Force E92681 entity
Predicate shortName P43 FINISHED
Object FARE
FARE was the air force of the Spanish Republic during the Spanish Civil War, operating as the aerial branch of the Republican military.
 E416362 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: FARE | Statement: [Spanish Republican Air Force, shortName, FARE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FARE
Context triple: [Spanish Republican Air Force, shortName, FARE]
  • A. FAR
    FAR is the acronym for Cuba’s national military organization, the Revolutionary Armed Forces.
  • B. FAR
    FAR is the commonly used abbreviation for the Intergovernmental Panel on Climate Change’s First Assessment Report, a foundational scientific evaluation of climate change published in 1990.
  • C. FAR
    FAR is the station code for Faro railway station, a key rail transport hub serving the city of Faro in southern Portugal’s Algarve region.
  • D. FAB
    FAB is the acronym for the Brazilian Air Force, the aerial warfare branch of Brazil’s armed forces.
  • E. FAC
    FAC is the commonly used abbreviation for the Foreign Affairs Council, the European Union body where member states’ foreign ministers coordinate and decide on EU external policy.
  • 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: FARE
Triple: [Spanish Republican Air Force, shortName, FARE]
Generated description
FARE was the air force of the Spanish Republic during the Spanish Civil War, operating as the aerial branch of the Republican military.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FARE
Target entity description: FARE was the air force of the Spanish Republic during the Spanish Civil War, operating as the aerial branch of the Republican military.
  • A. FAR
    FAR is the acronym for Cuba’s national military organization, the Revolutionary Armed Forces.
  • B. FAR
    FAR is the commonly used abbreviation for the Intergovernmental Panel on Climate Change’s First Assessment Report, a foundational scientific evaluation of climate change published in 1990.
  • C. FAR
    FAR is the station code for Faro railway station, a key rail transport hub serving the city of Faro in southern Portugal’s Algarve region.
  • D. FAB
    FAB is the acronym for the Brazilian Air Force, the aerial warfare branch of Brazil’s armed forces.
  • E. FAC
    FAC is the commonly used abbreviation for the Foreign Affairs Council, the European Union body where member states’ foreign ministers coordinate and decide on EU external policy.
  • 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_69aed9685f70819086932777aec8d959 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69af0208903c8190a7f451a455d3e253 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576b405548190affdd8bb108995b1 completed March 14, 2026, 2:54 p.m.
NEDg Description generation batch_69b577653214819093396a8601e52245 completed March 14, 2026, 2:57 p.m.
NED2 Entity disambiguation (via description) batch_69b57b90cb308190ba102f999795829c completed March 14, 2026, 3:15 p.m.
Created at: March 9, 2026, 3:41 p.m.