Triple

T6130440
Position Surface form Disambiguated ID Type / Status
Subject M66 motorway E136702 entity
Predicate hasJunction P1018 FINISHED
Object Junction 3
Junction 3 is a numbered exit on England’s M66 motorway serving local connections in the Greater Manchester area.
 E572799 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 3 | Statement: [M66 motorway, hasJunction, Junction 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Junction 3
Context triple: [M66 motorway, hasJunction, Junction 3]
  • A. Junction 2
    Junction 2 is a numbered interchange on the M66 motorway in Greater Manchester, England, providing access between the motorway and local road networks.
  • B. Junction 5
    Junction 5 is a numbered exit on England’s M58 motorway, providing access between the motorway and the surrounding local road network.
  • C. Junction 1
    Junction 1 is a major road interchange on England’s M58 motorway, connecting it with local and regional routes.
  • D. Junction 6
    Junction 6 is an interchange on England’s M58 motorway connecting local roads to the regional motorway network.
  • E. Junction 7
    Junction 7 is a numbered junction on England’s M58 motorway, serving as one of the route’s access and exit points.
  • 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 3
Triple: [M66 motorway, hasJunction, Junction 3]
Generated description
Junction 3 is a numbered exit on England’s M66 motorway serving local connections in the Greater Manchester area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Junction 3
Target entity description: Junction 3 is a numbered exit on England’s M66 motorway serving local connections in the Greater Manchester area.
  • A. Junction 2
    Junction 2 is a numbered interchange on the M66 motorway in Greater Manchester, England, providing access between the motorway and local road networks.
  • B. Junction 5
    Junction 5 is a numbered exit on England’s M58 motorway, providing access between the motorway and the surrounding local road network.
  • C. Junction 1
    Junction 1 is a major road interchange on England’s M58 motorway, connecting it with local and regional routes.
  • D. Junction 6
    Junction 6 is an interchange on England’s M58 motorway connecting local roads to the regional motorway network.
  • E. Junction 7
    Junction 7 is a numbered junction on England’s M58 motorway, serving as one of the route’s access and exit points.
  • 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c4de9c48190b98f67a6251ec1df completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1416a4dd481908f1336fbd02c7af8 completed March 23, 2026, 1:34 p.m.
NEDg Description generation batch_69c1470b2cc08190b933acd0855ca0ef completed March 23, 2026, 1:58 p.m.
NED2 Entity disambiguation (via description) batch_69c1477308988190a49f830a4473c775 completed March 23, 2026, 2 p.m.
Created at: March 22, 2026, 4:15 p.m.