Triple

T19649920
Position Surface form Disambiguated ID Type / Status
Subject No. 72 Squadron RAF E471781 entity
Predicate hasCallsign P1565 FINISHED
Object “Shawbury” (historical, training context)
“Shawbury” was the historical radio callsign used by No. 72 Squadron RAF during its training operations.
 E1388715 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: “Shawbury” (historical, training context) | Statement: [No. 72 Squadron RAF, hasCallsign, “Shawbury” (historical, training context)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: “Shawbury” (historical, training context)
Context triple: [No. 72 Squadron RAF, hasCallsign, “Shawbury” (historical, training context)]
  • A. Shaw (partial)
    Shaw is a historic Washington, D.C. neighborhood known for its African American cultural heritage, vibrant arts and nightlife, and significant role in the city’s civil rights history.
  • B. Shawe
    Shawe is a variant spelling of the surname "Shaw," which is of English and Scottish origin.
  • C. Langshaw
    Langshaw is the middle name of the influential British philosopher of language J. L. Austin.
  • D. Boarshaw
    Boarshaw is a residential area and suburb within the town of Middleton in Greater Manchester, England.
  • E. Whishaw
    Whishaw is the surname of English actor Ben Whishaw, known for his acclaimed work in film, television, and theatre.
  • 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: “Shawbury” (historical, training context)
Triple: [No. 72 Squadron RAF, hasCallsign, “Shawbury” (historical, training context)]
Generated description
“Shawbury” was the historical radio callsign used by No. 72 Squadron RAF during its training operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: “Shawbury” (historical, training context)
Target entity description: “Shawbury” was the historical radio callsign used by No. 72 Squadron RAF during its training operations.
  • A. Shaw (partial)
    Shaw is a historic Washington, D.C. neighborhood known for its African American cultural heritage, vibrant arts and nightlife, and significant role in the city’s civil rights history.
  • B. Shawe
    Shawe is a variant spelling of the surname "Shaw," which is of English and Scottish origin.
  • C. Langshaw
    Langshaw is the middle name of the influential British philosopher of language J. L. Austin.
  • D. Boarshaw
    Boarshaw is a residential area and suburb within the town of Middleton in Greater Manchester, England.
  • E. Whishaw
    Whishaw is the surname of English actor Ben Whishaw, known for his acclaimed work in film, television, and theatre.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641286bbc8190886f309de13063bf completed April 20, 2026, 3:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a077eef87108190a3858836dce29341 completed May 15, 2026, 8:15 p.m.
NEDg Description generation batch_6a077fb5d7288190a691e312ec22789b completed May 15, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_6a07810b1de88190a2516712767fde52 completed May 15, 2026, 8:24 p.m.
Created at: April 10, 2026, 1:44 p.m.