Triple

T2221310
Position Surface form Disambiguated ID Type / Status
Subject National Republican Air Force E48146 entity
Predicate abbreviation P43 FINISHED
Object ANR
ANR was the Italian National Republican Air Force, the air arm of Mussolini's Italian Social Republic that operated alongside the German Luftwaffe during the later years of World War II.
 E246209 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: ANR | Statement: [National Republican Air Force, abbreviation, ANR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ANR
Context triple: [National Republican Air Force, abbreviation, ANR]
  • A. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • B. ANP
    ANP is the national police force of Afghanistan responsible for law enforcement, public order, and internal security across the country.
  • C. ANA
    ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
  • D. ANA
    ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
  • E. ANA
    ANA is the ICAO airline designator for All Nippon Airways, Japan’s largest airline and a major global carrier.
  • 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: ANR
Triple: [National Republican Air Force, abbreviation, ANR]
Generated description
ANR was the Italian National Republican Air Force, the air arm of Mussolini's Italian Social Republic that operated alongside the German Luftwaffe during the later years of World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ANR
Target entity description: ANR was the Italian National Republican Air Force, the air arm of Mussolini's Italian Social Republic that operated alongside the German Luftwaffe during the later years of World War II.
  • A. AN
    AN is the vehicle registration code used on license plates for the Ansbach district in the Middle Franconia region of Bavaria, Germany.
  • B. ANP
    ANP is the national police force of Afghanistan responsible for law enforcement, public order, and internal security across the country.
  • C. ANA
    ANA is the commonly used abbreviation for the Afghan National Army, the former main land warfare branch of Afghanistan’s armed forces.
  • D. ANA
    ANA is the standard three-letter abbreviation used for the Anaheim Ducks, a professional ice hockey team in the National Hockey League.
  • E. ANA
    ANA is the ICAO airline designator for All Nippon Airways, Japan’s largest airline and a major global carrier.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0156c8c819083e3e3b6ede1e951 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65605fa481908ac5b9d837600626 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae669aa29c81909770cd69d27c274c completed March 9, 2026, 6:20 a.m.
NED2 Entity disambiguation (via description) batch_69ae66fb7f1c8190b2bc306f06c423f1 completed March 9, 2026, 6:21 a.m.
Created at: March 4, 2026, 7:47 p.m.