Triple

T24741399
Position Surface form Disambiguated ID Type / Status
Subject Whitley Mk IV E618569 entity
Predicate improvementOver P6555 FINISHED
Object Whitley Mk III engines
Whitley Mk III engines were the earlier powerplants used in Armstrong Whitworth Whitley bombers before being superseded by the more advanced Mk IV engines.
E1646737 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: Whitley Mk III engines | Statement: [Whitley Mk IV, improvementOver, Whitley Mk III engines]
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: Whitley Mk III engines
Triple: [Whitley Mk IV, improvementOver, Whitley Mk III engines]
Generated description
Whitley Mk III engines were the earlier powerplants used in Armstrong Whitworth Whitley bombers before being superseded by the more advanced Mk IV engines.

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_69e2fab8f95c81908bb9e552cf3280c2 completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f41056b2c8819085b4ee2509352786 completed May 1, 2026, 2:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a101025cb248190a4ad9b967c188d33 completed May 22, 2026, 8:13 a.m.
NEDg Description generation batch_6a10136f4b048190b4664398b5929656 completed May 22, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a10143c5c84819081dd4f953fa9841a completed May 22, 2026, 8:30 a.m.
Created at: April 18, 2026, 4:14 a.m.