Triple

T7588300
Position Surface form Disambiguated ID Type / Status
Subject Naval Air Force Atlantic E179670 entity
Predicate abbreviation P43 FINISHED
Object AIRLANT
AIRLANT is the U.S. Navy’s Atlantic Fleet naval aviation command responsible for organizing, training, and equipping Atlantic-based naval air forces.
 E675688 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: AIRLANT | Statement: [Naval Air Force Atlantic, abbreviation, AIRLANT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AIRLANT
Context triple: [Naval Air Force Atlantic, abbreviation, AIRLANT]
  • A. Equair
    Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
  • B. Avion
    Avion is a commune in the Pas-de-Calais department in northern France.
  • C. Air Nostrum
    Air Nostrum is a Spanish regional airline that operates flights under the Iberia Regional brand, connecting smaller cities with Iberia’s main network.
  • D. Aeroplan
    Aeroplan is Air Canada's loyalty program that allows members to earn and redeem points for flights, upgrades, and other travel-related rewards.
  • E. Air Busan
    Air Busan is a South Korean low-cost airline based in Busan that operates domestic and international flights across East Asia.
  • 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: AIRLANT
Triple: [Naval Air Force Atlantic, abbreviation, AIRLANT]
Generated description
AIRLANT is the U.S. Navy’s Atlantic Fleet naval aviation command responsible for organizing, training, and equipping Atlantic-based naval air forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AIRLANT
Target entity description: AIRLANT is the U.S. Navy’s Atlantic Fleet naval aviation command responsible for organizing, training, and equipping Atlantic-based naval air forces.
  • A. Equair
    Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
  • B. Avion
    Avion is a commune in the Pas-de-Calais department in northern France.
  • C. Air Nostrum
    Air Nostrum is a Spanish regional airline that operates flights under the Iberia Regional brand, connecting smaller cities with Iberia’s main network.
  • D. Aeroplan
    Aeroplan is Air Canada's loyalty program that allows members to earn and redeem points for flights, upgrades, and other travel-related rewards.
  • E. Air Busan
    Air Busan is a South Korean low-cost airline based in Busan that operates domestic and international flights across East Asia.
  • 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_69c69f335248819093c1006f30513708 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f99875908190b09584cf13ea1e08 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8618d29c4819083e78266af8f2daa completed March 28, 2026, 11:17 p.m.
NEDg Description generation batch_69c86211e4f88190b38bce6441e33b53 completed March 28, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69c862b8f3688190b0abc00458f70d7e completed March 28, 2026, 11:22 p.m.
Created at: March 27, 2026, 3:52 p.m.