Triple

T5226592
Position Surface form Disambiguated ID Type / Status
Subject Taibach E118003 entity
Predicate hasLanguage P15 FINISHED
Object Welsh E61316 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: Welsh | Statement: [Taibach, hasLanguage, Welsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Welsh
Context triple: [Taibach, 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. Cornish
    Cornish is a revived Southwestern Brittonic Celtic language historically spoken in Cornwall, England.
  • C. Middle Welsh
    Middle Welsh is the historical form of the Welsh language used roughly between the 12th and 14th centuries, known especially from medieval literature such as the Mabinogion.
  • D. Cumbric language
    The Cumbric language was an extinct Brythonic Celtic language once spoken in northern England and southern Scotland, closely related to Old Welsh.
  • E. Welsh people
    Welsh people are a Celtic ethnic group native to Wales, known for their distinct Welsh language, rich cultural traditions, and strong national identity within the United Kingdom.
  • 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_69bd4466fb8c819083b806a79414d7e4 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7adc9be081909903b9f844c3d146 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69beeffea8f481909c86c932781c4e2a completed March 21, 2026, 7:22 p.m.
Created at: March 20, 2026, 1:48 p.m.