Triple

T22259099
Position Surface form Disambiguated ID Type / Status
Subject M27 E550170 entity
Predicate hasJunction P1018 FINISHED
Object Junction 7
Junction 7 is a major interchange on England’s M27 motorway, providing access to the nearby urban and commercial areas around Hedge End in Hampshire.
 E1527332 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 7 | Statement: [M27, hasJunction, Junction 7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Junction 7
Context triple: [M27, hasJunction, Junction 7]
  • A. Junction 7
    Junction 7 is a numbered junction on England’s M58 motorway, serving as one of the route’s access and exit points.
  • B. Junction 7
    Junction 7 is a numbered interchange on the M20 motorway in England, providing access between the motorway and the surrounding local road network.
  • C. Junction 7
    Junction 7 is an interchange on the M2 motorway in Northern Ireland, providing access to the nearby town of Antrim and surrounding 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 1
    Junction 1 is a major road interchange on England’s M58 motorway, connecting it with local and regional routes.
  • 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 7
Triple: [M27, hasJunction, Junction 7]
Generated description
Junction 7 is a major interchange on England’s M27 motorway, providing access to the nearby urban and commercial areas around Hedge End in Hampshire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Junction 7
Target entity description: Junction 7 is a major interchange on England’s M27 motorway, providing access to the nearby urban and commercial areas around Hedge End in Hampshire.
  • A. Junction 7
    Junction 7 is a numbered junction on England’s M58 motorway, serving as one of the route’s access and exit points.
  • B. Junction 7
    Junction 7 is a numbered interchange on the M20 motorway in England, providing access between the motorway and the surrounding local road network.
  • C. 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.
  • D. Junction 7
    Junction 7 is an interchange on the M2 motorway in Northern Ireland, providing access to the nearby town of Antrim and surrounding areas.
  • E. Junction 1
    Junction 1 is a major road interchange on England’s M58 motorway, connecting it with local and regional routes.
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c5b54c8190854690ba599639fa completed April 28, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab6681d5881909345d8e83791ba7d completed May 18, 2026, 6:49 a.m.
NEDg Description generation batch_6a0ab6fd3a6881908ea1e8f85eb9d969 completed May 18, 2026, 6:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab791bd6c819098b3de570bd08815 completed May 18, 2026, 6:54 a.m.
Created at: April 16, 2026, 8:39 p.m.