Triple

T20058355
Position Surface form Disambiguated ID Type / Status
Subject M2 motorway E499399 entity
Predicate hasJunction P1018 FINISHED
Object Junction 6
Junction 6 is a numbered interchange on the M2 motorway in the United Kingdom, providing access between the motorway and the surrounding local road network.
 E1409936 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 6 | Statement: [M2 motorway, hasJunction, Junction 6]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Junction 6
Context triple: [M2 motorway, hasJunction, Junction 6]
  • A. Junction 6
    Junction 6 is an interchange on England’s M58 motorway connecting local roads to the regional motorway network.
  • B. Junction 4
    Junction 4 is a junction on England’s M55 motorway, serving as one of the key access points between the motorway and the local road network near Blackpool.
  • C. Junction 4
    Junction 4 is an interchange on the M60 motorway in Greater Manchester, England, connecting the orbital route with local roads and nearby urban areas.
  • D. Junction 7
    Junction 7 is a major motorway interchange on England’s M53, serving as a key access point between local roads and the wider regional 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 6
Triple: [M2 motorway, hasJunction, Junction 6]
Generated description
Junction 6 is a numbered interchange on the M2 motorway in the United Kingdom, providing access between the motorway and the surrounding local road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Junction 6
Target entity description: Junction 6 is a numbered interchange on the M2 motorway in the United Kingdom, providing access between the motorway and the surrounding local road network.
  • A. Junction 6
    Junction 6 is an interchange on England’s M58 motorway connecting local roads to the regional motorway network.
  • B. Junction 4
    Junction 4 is a junction on England’s M55 motorway, serving as one of the key access points between the motorway and the local road network near Blackpool.
  • C. Junction 4
    Junction 4 is an interchange on the M60 motorway in Greater Manchester, England, connecting the orbital route with local roads and nearby urban areas.
  • D. Junction 7
    Junction 7 is a major motorway interchange on England’s M53, serving as a key access point between local roads and the wider regional 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66373e0e08190a6d8a10084eecc4d completed April 20, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f33d7808190b71c69701fc85a02 completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a0820d8d2c48190b8c75fc59e43462a completed May 16, 2026, 7:46 a.m.
NED2 Entity disambiguation (via description) batch_6a08212942e88190a385e094a27b3ede completed May 16, 2026, 7:47 a.m.
Created at: April 11, 2026, 3:38 p.m.