Triple

T22020066
Position Surface form Disambiguated ID Type / Status
Subject Gower E543819 entity
Predicate hasLanguage P15 FINISHED
Object Welsh NE NERFINISHED

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: Welsh | Statement: [Gower, hasLanguage, Welsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Welsh
Context triple: [Gower, hasLanguage, Welsh]
  • A. Welsh chosen
    Welsh is a Celtic language native to Wales, known for its rich literary tradition and status as one of the oldest living languages in Europe.
  • B. Italian Welsh
    Italian Welsh are people of Italian descent living in Wales, forming a distinct subgroup within the broader Italian community in the United Kingdom.
  • C. Old Welsh
    Old Welsh is the earliest documented stage of the Welsh language, attested in early medieval Britain and forming the linguistic ancestor of Middle and Modern Welsh.
  • D. Kernewek Kemmyn
    Kernewek Kemmyn is a standardized orthography of revived Cornish designed in the late 20th century to provide a more phonemic and consistent spelling system for the language.
  • E. Cornish
    Cornish is a revived Southwestern Brittonic Celtic language historically spoken in Cornwall, England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c6b5fc8190bc49ddb058f28a44 completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:23 p.m.