Triple

T27742066
Position Surface form Disambiguated ID Type / Status
Subject No. 331 Squadron RAF E701879 entity
Predicate wingAssignment P163179 FINISHED
Object No. 132 (Norwegian) Wing
No. 132 (Norwegian) Wing was a Royal Air Force fighter wing in World War II composed primarily of Norwegian-manned squadrons operating under British command.
 E1786090 NE FINISHED

How this triple was built (3 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: No. 132 (Norwegian) Wing | Statement: [No. 331 Squadron RAF, wingAssignment, No. 132 (Norwegian) Wing]
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: No. 132 (Norwegian) Wing
Triple: [No. 331 Squadron RAF, wingAssignment, No. 132 (Norwegian) Wing]
Generated description
No. 132 (Norwegian) Wing was a Royal Air Force fighter wing in World War II composed primarily of Norwegian-manned squadrons operating under British command.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: wingAssignment
Context triple: [No. 331 Squadron RAF, wingAssignment, No. 132 (Norwegian) Wing]
  • A. wingAssignment chosen
    Indicates the specific wing or section of a building or facility that has been assigned to an entity.
  • B. committeeAssignment
    Indicates that an entity is assigned to serve on a particular committee.
  • C. shipAssignment
    Indicates the association between a ship and the specific task, route, or entity it has been assigned to.
  • D. armyAssignment
    Indicates that an entity is assigned to serve in or with a particular army or military unit.
  • E. allottedTo
    Indicates that something has been assigned or allocated to a particular entity as its designated recipient or user.
  • F. None of above.

Provenance (6 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_69ef6a53c7388190899baa6daf42301c completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f63894e5848190aec428392562ab06 completed May 2, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e479c6ac81908c297820e0ab6af6 completed May 24, 2026, 11:43 a.m.
NEDg Description generation batch_6a12e51506ac8190bc8cac0bad87dad5 completed May 24, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_6a12e5cfee048190a139532d8e125411 completed May 24, 2026, 11:49 a.m.
PD Predicate disambiguation batch_69f6370c8c7c8190a02ea82847bb6e76 completed May 2, 2026, 5:40 p.m.
Created at: April 27, 2026, 4:12 p.m.