Triple

T9437228
Position Surface form Disambiguated ID Type / Status
Subject No. 77 Squadron RAAF E227540 entity
Predicate nickname P55 FINISHED
Object 77 Squadron
77 Squadron is a Royal Australian Air Force fighter squadron known for its long operational history and involvement in major conflicts such as the Korean War.
E799761 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: 77 Squadron | Statement: [No. 77 Squadron RAAF, nickname, 77 Squadron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 77 Squadron
Context triple: [No. 77 Squadron RAAF, nickname, 77 Squadron]
  • A. 70 Sqn
    70 Sqn is a Royal Air Force squadron historically known for its transport and support roles in various military operations.
  • B. 207 Squadron
    207 Squadron is a Royal Air Force unit with a long history dating back to World War I, known for its roles in bomber and training operations.
  • C. 120 Sqn
    120 Sqn is a Royal Air Force squadron historically known for its long-range maritime patrol and anti-submarine warfare roles.
  • D. 617 Squadron
    617 Squadron is a famous Royal Air Force unit best known as the "Dambusters" for its World War II raids using bouncing bombs against German dams.
  • E. 100 Squadron
    100 Squadron is a Royal Air Force unit historically known for its bomber operations in both World Wars and later roles in training and electronic warfare.
  • 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: 77 Squadron
Triple: [No. 77 Squadron RAAF, nickname, 77 Squadron]
Generated description
77 Squadron is a Royal Australian Air Force fighter squadron known for its long operational history and involvement in major conflicts such as the Korean War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 77 Squadron
Target entity description: 77 Squadron is a Royal Australian Air Force fighter squadron known for its long operational history and involvement in major conflicts such as the Korean War.
  • A. 70 Sqn
    70 Sqn is a Royal Air Force squadron historically known for its transport and support roles in various military operations.
  • B. 207 Squadron
    207 Squadron is a Royal Air Force unit with a long history dating back to World War I, known for its roles in bomber and training operations.
  • C. 120 Sqn
    120 Sqn is a Royal Air Force squadron historically known for its long-range maritime patrol and anti-submarine warfare roles.
  • D. 617 Squadron
    617 Squadron is a famous Royal Air Force unit best known as the "Dambusters" for its World War II raids using bouncing bombs against German dams.
  • E. 100 Squadron
    100 Squadron is a Royal Air Force unit historically known for its bomber operations in both World Wars and later roles in training and electronic warfare.
  • 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_69ca8437a7ac81908651de48f2d2141d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7edff5e881909b72976e8909ba4b completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11053d8008190a29575149d2e027f completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d111a770c881909a2902d36cd7913c completed April 4, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69d112634fb48190b4c7e9d997d27928 completed April 4, 2026, 1:30 p.m.
Created at: March 30, 2026, 7:50 p.m.