Triple

T33648612
Position Surface form Disambiguated ID Type / Status
Subject Edmund Ward E862028 entity
Predicate notableWorkPublished P80 FINISHED
Object Branch Line Engines
Branch Line Engines is a children's railway-themed storybook in the Railway Series, written by Edmund Ward under the Rev. W. Awdry brand, featuring tales about branch line locomotives.
E2061703 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: Branch Line Engines | Statement: [Edmund Ward, notableWorkPublished, Branch Line 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: Branch Line Engines
Triple: [Edmund Ward, notableWorkPublished, Branch Line Engines]
Generated description
Branch Line Engines is a children's railway-themed storybook in the Railway Series, written by Edmund Ward under the Rev. W. Awdry brand, featuring tales about branch line locomotives.

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_69f349840ba881908e3bfce536aeb92b completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f9c045408190a7f7d318a6f5c21f completed May 3, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36271db1548190bb1ccf04d2e1a55c completed June 20, 2026, 5:37 a.m.
NEDg Description generation batch_6a3628077de08190af490293002fb49d completed June 20, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_6a36290731fc81909c4103917af094bb completed June 20, 2026, 5:45 a.m.
Created at: May 1, 2026, 1:42 a.m.