Triple

T11637386
Position Surface form Disambiguated ID Type / Status
Subject Liddel Water E276559 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Canonbie E382488 NE FINISHED

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: [Liddel Water, hasNearbySettlement, Canonbie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Canonbie
Context triple: [Liddel Water, hasNearbySettlement, Canonbie]
  • A. Canonbie chosen
    Canonbie is a small rural village in southwestern Scotland, situated near the English border along the River Esk.
  • B. Noboribetsu
    Noboribetsu is a hot spring resort city in Hokkaido, Japan, famed for its dramatic volcanic landscapes and numerous onsen.
  • C. 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.
  • D. Hakone
    Hakone is a popular hot spring resort town in Japan known for its views of Mount Fuji, scenic lakes, and traditional ryokan inns.
  • E. Hakuba Valley
    Hakuba Valley is a renowned Japanese ski and outdoor recreation area in the Northern Alps, famous for its world-class winter sports, scenic mountain landscapes, and role as a host venue during the 1998 Nagano Winter Olympics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a25d80208190b33e95db2e7cc276 completed April 10, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87d006e881908e008ffa17502d47 completed April 26, 2026, 9:46 p.m.
Created at: April 8, 2026, 9:39 p.m.