Triple

T490843
Position Surface form Disambiguated ID Type / Status
Subject Wales E9984 entity
Predicate mountainRange P648 FINISHED
Object Snowdonia E47901 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: Snowdonia | Statement: [Wales, mountainRange, Snowdonia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snowdonia
Context triple: [Wales, mountainRange, Snowdonia]
  • A. Snowdonia chosen
    Snowdonia is a mountainous region and national park in northwest Wales, renowned for its rugged landscapes, lakes, and the highest peak in Wales, Mount Snowdon.
  • B. Snowdon
    Snowdon is the tallest and most famous mountain in Wales, renowned for its scenic hiking routes and panoramic views.
  • C. Brecon Beacons in Wales
    The Brecon Beacons in Wales are a mountain range and national park renowned for their sweeping upland landscapes, distinctive red sandstone peaks, and popular hiking and outdoor recreation opportunities.
  • D. Aran Fawddwy
    Aran Fawddwy is a prominent mountain in southern Snowdonia, Wales, known for being one of the highest peaks in the region outside the main Snowdon massif.
  • E. Ffestiniog
    Ffestiniog is a historic town in north Wales, known for its slate quarrying heritage and proximity to the scenic landscapes of Snowdonia.
  • 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_69a2e802e2908190ab17c9479e0b6412 completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2f0e22a308190b04d12974fd08a38 completed Feb. 28, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a47d2a78a48190ac5a1e7f57f9dbd1 completed March 1, 2026, 5:53 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.