Triple

T37351496
Position Surface form Disambiguated ID Type / Status
Subject New Main Line E927333 entity
Predicate hasAlternativeName P39 FINISHED
Object Birmingham Canal New Main Line
The Birmingham Canal New Main Line is a major 19th-century canal in Birmingham, England, engineered by Thomas Telford to provide a more direct and efficient route through the city’s industrial heartland.
E2223845 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: Birmingham Canal New Main Line | Statement: [New Main Line, hasAlternativeName, Birmingham Canal New Main Line]
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: Birmingham Canal New Main Line
Triple: [New Main Line, hasAlternativeName, Birmingham Canal New Main Line]
Generated description
The Birmingham Canal New Main Line is a major 19th-century canal in Birmingham, England, engineered by Thomas Telford to provide a more direct and efficient route through the city’s industrial heartland.

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_69f76eb5e034819088e53ab5b7909a68 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb5bc124fc81909cc9146f9ebd53f4 completed May 6, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40ba37063881908f43a523cdf1740c completed June 28, 2026, 6:07 a.m.
NEDg Description generation batch_6a40bb533f0481909fe934068ad6fff6 completed June 28, 2026, 6:12 a.m.
NED2 Entity disambiguation (via description) batch_6a40bbcb827481909fe164c34f7e13de completed June 28, 2026, 6:14 a.m.
Created at: May 3, 2026, 4:16 p.m.