Triple

T10270847
Position Surface form Disambiguated ID Type / Status
Subject Llanberis Pass E240829 entity
Predicate region P40 FINISHED
Object Eryri E260950 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: Eryri | Statement: [Llanberis Pass, region, Eryri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eryri
Context triple: [Llanberis Pass, region, Eryri]
  • A. Eryri chosen
    Eryri is the Welsh name for Snowdonia, a mountainous national park in northwest Wales known for its rugged peaks, lakes, and scenic landscapes.
  • B. Snowdon
    Snowdon is the tallest and most famous mountain in Wales, renowned for its scenic hiking routes and panoramic views.
  • C. Snowdon
    Snowdon is a major Montreal Metro station in the Côte-des-Neiges–Notre-Dame-de-Grâce borough that serves as an important transfer point between multiple subway lines.
  • D. Pen y Fan
    Pen y Fan is a prominent mountain in South Wales known for its sweeping views and popularity with hikers and outdoor enthusiasts.
  • E. Tryfan
    Tryfan is a distinctive, rugged mountain in Snowdonia, Wales, famed for its jagged profile and popular scrambling routes.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d27235ec819086152771206453f2 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d9336139088190bd9ea3e2333c59cb completed April 10, 2026, 5:29 p.m.
Created at: April 6, 2026, 11:35 a.m.