Triple

T3906593
Position Surface form Disambiguated ID Type / Status
Subject Gwen Cooper E87216 entity
Predicate nationality P2 FINISHED
Object Welsh E288563 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: [Gwen Cooper, nationality, Welsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Welsh
Context triple: [Gwen Cooper, nationality, Welsh]
  • A. Welsh
    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. Welsh people chosen
    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.
  • E. Bwrdd yr Iaith Gymraeg
    Bwrdd yr Iaith Gymraeg is the former statutory body responsible for promoting and facilitating the use of the Welsh language in Wales.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed1290e48190aaf2d8b2a7be707a completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51cace2b88190981e3516123a417d completed March 14, 2026, 8:30 a.m.
Created at: March 9, 2026, 3:22 p.m.