Triple

T19659196
Position Surface form Disambiguated ID Type / Status
Subject River Liddel E472032 entity
Predicate hasMouthNear P350 FINISHED
Object Canonbie 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: Canonbie | Statement: [River Liddel, hasMouthNear, Canonbie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canonbie
Context triple: [River Liddel, hasMouthNear, Canonbie]
  • A. Canonbie
    Canonbie is a small rural village in southwestern Scotland, situated near the English border along the River Esk.
  • B. Canazei-Belvedere
    Canazei-Belvedere is a popular ski area in the Italian Dolomites, known for its extensive slopes, scenic alpine views, and connection to the Sella Ronda ski circuit.
  • C. CANONBIE chosen
    CANONBIE is a village in Dumfries and Galloway, Scotland, known for its rural setting near the English border and the River Esk.
  • D. Noboribetsu
    Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
  • E. Ohakune
    Ohakune is a small New Zealand town on the North Island known as a gateway to Mount Ruapehu and the Tongariro National Park, as well as for its ski tourism and carrot farming.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641485ce481908b3860fa5e3a9f6e completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:45 p.m.