Triple

T28678942
Position Surface form Disambiguated ID Type / Status
Subject Wadesmill E725953 entity
Predicate roadBypassed P124712 FINISHED
Object A10 Wadesmill bypass
The A10 Wadesmill bypass is a section of the A10 road in Hertfordshire, England, built to divert through-traffic away from the village of Wadesmill and improve safety and traffic flow.
 E1829233 NE FINISHED

How this triple was built (3 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: A10 Wadesmill bypass | Statement: [Wadesmill, roadBypassed, A10 Wadesmill bypass]
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: A10 Wadesmill bypass
Triple: [Wadesmill, roadBypassed, A10 Wadesmill bypass]
Generated description
The A10 Wadesmill bypass is a section of the A10 road in Hertfordshire, England, built to divert through-traffic away from the village of Wadesmill and improve safety and traffic flow.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: roadBypassed
Context triple: [Wadesmill, roadBypassed, A10 Wadesmill bypass]
  • A. roadBypassedInYear
    Indicates that a particular road was bypassed or replaced by an alternative route in the specified year.
  • B. bypassesCity
    Indicates that a route, road, or path goes around a city rather than passing directly through it.
  • C. roadTraverses
    Indicates that a road passes through, crosses, or extends across a specified geographic area or feature.
  • D. bypassedVia chosen
    Indicates that one entity is avoided, skipped, or circumvented by using another specified means, route, or method.
  • E. roadMode
    Indicates the mode or type of transportation being used on a road within the described relationship or action.
  • F. None of above.

Provenance (6 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_69f01d867608819086bc3e6b4f9de866 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f65636c5a48190a55e9c2ba1d54a1d completed May 2, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cc3aa159c81908f1ea83573a6eafe completed May 31, 2026, 11:26 p.m.
NEDg Description generation batch_6a1cc42a1b08819092125b1f3d09f2ca completed May 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_6a1cc4e253288190bb4e761d17423cbf completed May 31, 2026, 11:31 p.m.
PD Predicate disambiguation batch_69f651ac855481908e30c3b345d31356 completed May 2, 2026, 7:34 p.m.
Created at: April 28, 2026, 5:08 a.m.