Triple

T12469004
Position Surface form Disambiguated ID Type / Status
Subject Welsh 3000s E298003 entity
Predicate containsRange P86530 FINISHED
Object Snowdon Massif E322722 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: Snowdon Massif | Statement: [Welsh 3000s, containsRange, Snowdon Massif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snowdon Massif
Context triple: [Welsh 3000s, containsRange, Snowdon Massif]
  • A. Snowdon Massif chosen
    Snowdon Massif is the central mountainous group in Snowdonia, Wales, encompassing Snowdon and its surrounding peaks and ridges.
  • B. Snowdonia
    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.
  • C. Snowdon
    Snowdon is the tallest and most famous mountain in Wales, renowned for its scenic hiking routes and panoramic views.
  • D. 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.
  • E. Carnedd Llywelyn
    Carnedd Llywelyn is a prominent mountain in Snowdonia, Wales, known as one of the highest peaks in the country and a major summit of the Carneddau range.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541ace208190a5149b6f18fa196d completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6556aae84819083e4988ec6f21471 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:56 p.m.