Triple

T33378053
Position Surface form Disambiguated ID Type / Status
Subject No. 611 Squadron RAF E854689 entity
Predicate aircraftOperated P1523 FINISHED
Object Spitfire Mk II
The Spitfire Mk II was an early World War II British single-seat fighter aircraft, an improved variant of the original Spitfire that played a key role in the air defense of the United Kingdom.
E2053140 NE FINISHED

How this triple was built (2 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: Spitfire Mk II | Statement: [No. 611 Squadron RAF, aircraftOperated, Spitfire Mk II]
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: Spitfire Mk II
Triple: [No. 611 Squadron RAF, aircraftOperated, Spitfire Mk II]
Generated description
The Spitfire Mk II was an early World War II British single-seat fighter aircraft, an improved variant of the original Spitfire that played a key role in the air defense of the United Kingdom.

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_69f3496ca10c8190908640d18fa00832 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6dfff88848190833cb929eab3c818 completed May 3, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3595983b348190b8b1ce8b4bd8e48d completed June 19, 2026, 7:16 p.m.
NEDg Description generation batch_6a3596df7af08190a1ec47938a685d3a completed June 19, 2026, 7:22 p.m.
NED2 Entity disambiguation (via description) batch_6a3597a9451c8190ae497a25ac6513be completed June 19, 2026, 7:25 p.m.
Created at: May 1, 2026, 1:35 a.m.