Triple

T12468920
Position Surface form Disambiguated ID Type / Status
Subject The Red Dragon E298001 entity
Predicate associatedWith P37 FINISHED
Object Cymru E9984 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: Cymru | Statement: [The Red Dragon, associatedWith, Cymru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cymru
Context triple: [The Red Dragon, associatedWith, Cymru]
  • A. Wales
    Wales is a small rural community located within the Township of South Dundas in eastern Ontario, Canada.
  • B. Wales chosen
    Wales is a country on the western side of Great Britain, known for its distinct Celtic culture, Welsh language, mountainous national parks, and historic castles.
  • C. Prydain
    Prydain is a fictional, myth-inspired fantasy land created by Lloyd Alexander as the setting for his Chronicles of Prydain series.
  • D. Talywain
    Talywain is a small village and former coal-mining community in the county borough of Torfaen in south-east Wales.
  • E. Bretanha
    Bretanha is a civil parish on the island of São Miguel in the Azores, Portugal, known for its coastal scenery and traditional rural character.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94db979c481908778188794b2c08e completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba3983c8190aef5e3b6a6d2e41e completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.