Triple

T490856
Position Surface form Disambiguated ID Type / Status
Subject Wales E9984 entity
Predicate hasHistoricRegion P5057 FINISHED
Object Gwynedd E58308 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: Gwynedd | Statement: [Wales, hasHistoricRegion, Gwynedd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gwynedd
Context triple: [Wales, hasHistoricRegion, Gwynedd]
  • A. Gwynedd chosen
    Gwynedd is a county and preserved lieutenancy area in north-west Wales known for its rugged coastline, mountains including much of Snowdonia, and strong Welsh language and cultural heritage.
  • B. Caernarfonshire
    Caernarfonshire is a historic county in northwest Wales known for its rugged coastline, mountainous landscapes including parts of Snowdonia, and the medieval Caernarfon Castle.
  • C. Ceredigion
    Ceredigion is a coastal county in west Wales known for its rugged Cardigan Bay shoreline, rural landscapes, and Welsh-speaking communities.
  • D. Merionethshire
    Merionethshire is a historic county in northwest Wales known for its rugged mountainous landscapes and rural character.
  • E. Powys
    Powys is a large, predominantly rural county in mid-Wales known for its mountainous landscapes, market towns, and extensive agricultural areas.
  • 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: hasHistoricRegion
Context triple: [Wales, hasHistoricRegion, Gwynedd]
  • A. historicalRegion
    Indicates that an entity is or was a geographically defined area recognized for its significance during a particular historical period.
  • B. hasHistoricalOrigin
    Indicates that something originated, was first established, or came into existence during a specific historical period or context.
  • C. historicallyPartOf chosen
    Indicates that one entity was formerly a component, region, or subdivision of another entity during a past historical period, but is not necessarily part of it in the present.
  • D. hasHistoricCity
    Indicates that an entity possesses, contains, or is associated with a city recognized for its historical significance.
  • E. historicalJurisdiction
    Indicates that one entity previously held legal or administrative authority over another entity during a past time period.
  • F. None of above.

Provenance (4 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_69a48a786db88190bd4486159a9f96bc completed March 1, 2026, 6:50 p.m.
PD Predicate disambiguation batch_69a2edf7ce008190836fb6ab5ea39375 completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.