Triple

T38602205
Position Surface form Disambiguated ID Type / Status
Subject Blackburn Iris E934244 entity
Predicate aircraftFamily P1524 FINISHED
Object Blackburn flying boats
Blackburn flying boats were a series of British military seaplanes developed by Blackburn Aircraft in the early 20th century for long-range maritime patrol and reconnaissance.
 E2277432 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: Blackburn flying boats | Statement: [Blackburn Iris, aircraftFamily, Blackburn flying boats]
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: Blackburn flying boats
Triple: [Blackburn Iris, aircraftFamily, Blackburn flying boats]
Generated description
Blackburn flying boats were a series of British military seaplanes developed by Blackburn Aircraft in the early 20th century for long-range maritime patrol and reconnaissance.

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_69f76ecc17688190b389b693a5927501 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd956869881909b24edbe0201a5a5 completed May 7, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41eaa61cb48190b8e72d3db9cb32ad completed June 29, 2026, 3:46 a.m.
NEDg Description generation batch_6a41ee1fe1108190a081594fd5b2a38c completed June 29, 2026, 4:01 a.m.
NED2 Entity disambiguation (via description) batch_6a41eea96e648190ae6457592094827c completed June 29, 2026, 4:03 a.m.
Created at: May 3, 2026, 4:32 p.m.