Triple

T12469006
Position Surface form Disambiguated ID Type / Status
Subject Welsh 3000s E298003 entity
Predicate highestPeakEnglishName P105163 FINISHED
Object Snowdon E61320 NE FINISHED

How this triple was built (3 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 | Statement: [Welsh 3000s, highestPeakEnglishName, Snowdon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snowdon
Context triple: [Welsh 3000s, highestPeakEnglishName, Snowdon]
  • A. 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.
  • B. Snowdon chosen
    Snowdon is the tallest and most famous mountain in Wales, renowned for its scenic hiking routes and panoramic views.
  • C. Tryfan
    Tryfan is a distinctive, rugged mountain in Snowdonia, Wales, famed for its jagged profile and popular scrambling routes.
  • D. Eryri
    Eryri is the Welsh name for Snowdonia, a mountainous national park in northwest Wales known for its rugged peaks, lakes, and scenic landscapes.
  • E. Snowdon Massif
    Snowdon Massif is the central mountainous group in Snowdonia, Wales, encompassing Snowdon and its surrounding peaks and ridges.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: highestPeakEnglishName
Context triple: [Welsh 3000s, highestPeakEnglishName, Snowdon]
  • A. higherEnglishPeaks
    Indicates that one entity has English peaks that are higher than those of another entity.
  • B. highestPoint
    Indicates that one entity is the point with the greatest elevation or height relative to another entity or defined area.
  • C. territorialPeak
    Indicates the highest geographical point located within the territory or jurisdiction of a given entity.
  • D. countryHighestPointAccess
    Indicates that an entity has access to, or the ability to reach or utilize, the highest geographical point within a specified country.
  • E. areaPeak
    Indicates that a specified location or region is the highest point (peak) within a given area or spatial extent.
  • F. None of above. chosen

Provenance (5 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_69d94e626dbc8190ac7dcdb542ba9b0c completed April 10, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ea9024081908c800f6a5afc149e completed May 2, 2026, 8:29 p.m.
PD Predicate disambiguation batch_69d94d3f701c81909dd0e00251ac8553 completed April 10, 2026, 7:19 p.m.
PDg Predicate description generation batch_69d94e5f8d04819086d1ad4d62364005 completed April 10, 2026, 7:24 p.m.
Created at: April 8, 2026, 9:56 p.m.