Triple

T23388030
Position Surface form Disambiguated ID Type / Status
Subject Ruáingga E593936 entity
Predicate hasAutonym P1435 FINISHED
Object Ruáingga 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: Ruáingga | Statement: [Ruáingga, hasAutonym, Ruáingga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruáingga
Context triple: [Ruáingga, hasAutonym, Ruáingga]
  • A. Ruáingga chosen
    Ruáingga is an Indo-Aryan language spoken primarily by the Rohingya people from Myanmar’s Rakhine State and surrounding regions.
  • B. Nuaillé
    Nuaillé is a commune in western France notable as the place where royalist general Henri de La Rochejaquelein was killed during the War in the Vendée.
  • C. Dromahair
    Dromahair is a small village in County Leitrim, Ireland, known for its scenic setting by Lough Gill and its historic monastic and medieval sites.
  • D. Ailbe
    Ailbe is an Irish given name of early medieval origin, often associated with saints and traditional Gaelic heritage.
  • E. Cairanne
    Cairanne is a wine-producing village in southeastern France renowned for its Côtes du Rhône Villages appellation.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a499bad88190afca1afb2e3fddb0 completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:35 p.m.