Triple

T20058351
Position Surface form Disambiguated ID Type / Status
Subject M2 motorway E499399 entity
Predicate hasJunction P1018 FINISHED
Object Junction 2 NE NERFINISHED

How this triple was built (2 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 2 | Statement: [M2 motorway, hasJunction, Junction 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Junction 2
Context triple: [M2 motorway, hasJunction, Junction 2]
  • 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 2 chosen
    Junction 2 is a numbered interchange on the M60 motorway in Greater Manchester, England, connecting local roads to the orbital route around Manchester.
  • C. Junction 1
    Junction 1 is a key interchange on the M60 motorway near Stockport, connecting local roads to the orbital route around Greater Manchester.
  • D. 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.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 11, 2026, 3:38 p.m.