Triple

T24948118
Position Surface form Disambiguated ID Type / Status
Subject A720 Edinburgh City Bypass E624249 entity
Predicate role P268 FINISHED
Object provides access to Edinburgh
The A720 Edinburgh City Bypass is a major ring road around the south of Edinburgh that connects key motorways and routes, helping traffic reach the city while avoiding the congested centre.
 E1659720 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: provides access to Edinburgh | Statement: [A720 Edinburgh City Bypass, role, provides access to Edinburgh]
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: provides access to Edinburgh
Triple: [A720 Edinburgh City Bypass, role, provides access to Edinburgh]
Generated description
The A720 Edinburgh City Bypass is a major ring road around the south of Edinburgh that connects key motorways and routes, helping traffic reach the city while avoiding the congested centre.

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_69e2ff22e4c48190a0444b5a044f14e8 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f423fdc9a48190a3e41e8dc2c5ad17 completed May 1, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a103348151c8190beb8bf77c02461aa completed May 22, 2026, 10:43 a.m.
NEDg Description generation batch_6a10343efd288190884ee9ebcb1b4afb completed May 22, 2026, 10:47 a.m.
NED2 Entity disambiguation (via description) batch_6a1034fb076881908947b97895c6bbc1 completed May 22, 2026, 10:50 a.m.
Created at: April 18, 2026, 5:55 a.m.