Triple

T14901004
Position Surface form Disambiguated ID Type / Status
Subject M60 motorway E360001 entity
Predicate hasJunction P1018 FINISHED
Object Junction 3a
Junction 3a is a numbered interchange on the M60 motorway in Greater Manchester, England, providing access between the orbital route and local roads.
E1126972 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: Junction 3a | Statement: [M60 motorway, hasJunction, Junction 3a]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Junction 3a
Context triple: [M60 motorway, hasJunction, Junction 3a]
  • A. Junction 3
    Junction 3 is a major motorway interchange on the M53 in northwest England, connecting local routes to the wider regional road network.
  • B. Junction 3
    Junction 3 is a numbered exit on England’s M66 motorway serving local connections in the Greater Manchester area.
  • C. Junction
    Junction was the former name of the city now known as Englewood in Montgomery County, Ohio.
  • D. Junction 1
    Junction 1 is a major road interchange on England’s M58 motorway, connecting it with local and regional routes.
  • E. Junction 1
    Junction 1 is a motorway interchange on the M20 in southeast England, providing access between the M20 and local roads near the London orbital route.
  • 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: Junction 3a
Triple: [M60 motorway, hasJunction, Junction 3a]
Generated description
Junction 3a is a numbered interchange on the M60 motorway in Greater Manchester, England, providing access between the orbital route and local roads.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Junction 3a
Target entity description: Junction 3a is a numbered interchange on the M60 motorway in Greater Manchester, England, providing access between the orbital route and local roads.
  • A. Junction 3
    Junction 3 is a major motorway interchange on the M53 in northwest England, connecting local routes to the wider regional road network.
  • B. Junction 3
    Junction 3 is a numbered exit on England’s M66 motorway serving local connections in the Greater Manchester area.
  • C. Junction
    Junction was the former name of the city now known as Englewood in Montgomery County, Ohio.
  • D. Junction 1
    Junction 1 is a major road interchange on England’s M58 motorway, connecting it with local and regional routes.
  • E. Junction 1
    Junction 1 is a motorway interchange on the M20 in southeast England, providing access between the M20 and local roads near the London orbital route.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded609bf68819099ca3aa3fe1acadc completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b30c6881908b80ca96fb5b716f completed May 8, 2026, 11:33 p.m.
NEDg Description generation batch_69fe745da3d08190926524c9167ff45a completed May 8, 2026, 11:40 p.m.
NED2 Entity disambiguation (via description) batch_69fe75df75a88190a4ce1e1391ff07e2 completed May 8, 2026, 11:46 p.m.
Created at: April 10, 2026, 2:11 a.m.