Triple

T18877311
Position Surface form Disambiguated ID Type / Status
Subject Aylestone E461720 entity
Predicate hasRoad P959 FINISHED
Object A426
A426 is a major road in England that runs through Aylestone and connects Leicester with other nearby areas.
E1346780 NE FINISHED

How this triple was built (4 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: A426 | Statement: [Aylestone, hasRoad, A426]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A426
Context triple: [Aylestone, hasRoad, A426]
  • A. A42
    The A42 is a major road in England that links the M1 motorway near Kegworth with the M42 near Ashby-de-la-Zouch, providing an important route through the East Midlands.
  • B. A427
    The A427 is a primary road in England that serves as a key route connecting the town of Corby with other nearby settlements and regional highways.
  • C. A4216
    The A4216 is a main road serving the Sketty area of Swansea, Wales, providing an important local transport route.
  • D. A420
    The A420 is a major road in England that links Bristol to Oxford, passing through towns such as Chippenham and Swindon.
  • E. A420
    The A420 is an early model in Acorn Computers' Archimedes line of ARM-based personal computers introduced in the late 1980s.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: A426
Triple: [Aylestone, hasRoad, A426]
Generated description
A426 is a major road in England that runs through Aylestone and connects Leicester with other nearby areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A426
Target entity description: A426 is a major road in England that runs through Aylestone and connects Leicester with other nearby areas.
  • A. A42
    The A42 is a major road in England that links the M1 motorway near Kegworth with the M42 near Ashby-de-la-Zouch, providing an important route through the East Midlands.
  • B. A427
    The A427 is a primary road in England that serves as a key route connecting the town of Corby with other nearby settlements and regional highways.
  • C. A4216
    The A4216 is a main road serving the Sketty area of Swansea, Wales, providing an important local transport route.
  • D. A420
    The A420 is a major road in England that links Bristol to Oxford, passing through towns such as Chippenham and Swindon.
  • E. A420
    The A420 is an early model in Acorn Computers' Archimedes line of ARM-based personal computers introduced in the late 1980s.
  • F. None of above. chosen

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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3cf0aa0819090991fc9e14910fb completed April 20, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575c1c96c81908f37578b29455e82 completed May 14, 2026, 7:12 a.m.
NEDg Description generation batch_6a0576af871481909ab3b9c90f9c1220 completed May 14, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_6a05777f51b481909a7916bc40dcfd69 completed May 14, 2026, 7:19 a.m.
Created at: April 10, 2026, 11:57 a.m.