Triple

T22259105
Position Surface form Disambiguated ID Type / Status
Subject M27 E550170 entity
Predicate hasJunction P1018 FINISHED
Object Junction 13 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 13 | Statement: [M27, hasJunction, Junction 13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Junction 13
Context triple: [M27, hasJunction, Junction 13]
  • A. Junction 13
    Junction 13 is an interchange on the M60 motorway in Greater Manchester, England, connecting local roads to the orbital route around Manchester.
  • B. Junction 17
    Junction 17 is a key interchange on the M60 motorway near Manchester, connecting traffic to local routes including the Prestwich and Whitefield areas.
  • C. Junction 11
    Junction 11 is an interchange on the M60 motorway in Greater Manchester, England, providing access between the orbital route and local roads.
  • D. Junction 12 chosen
    Junction 12 is a numbered interchange on England’s M27 motorway, providing access between the motorway and the surrounding local road network.
  • E. Junction 21
    Junction 21 is a major road interchange on the M60 motorway in Greater Manchester, England.
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c5b54c8190854690ba599639fa completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.