Triple

T8123305
Position Surface form Disambiguated ID Type / Status
Subject Enda Kenny E189660 entity
Predicate constituencyRepresented P192 FINISHED
Object Mayo E681852 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: Mayo | Statement: [Enda Kenny, constituencyRepresented, Mayo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayo
Context triple: [Enda Kenny, constituencyRepresented, Mayo]
  • A. Mayo
    Mayo is a surname most prominently associated with the American medical family that co-founded the Mayo Clinic.
  • B. Mayo chosen
    Mayo is a parliamentary constituency represented in Dáil Éireann, the lower house of the Irish parliament, covering most of County Mayo in western Ireland.
  • C. Mayo
    The Mayo are an Indigenous people of northwestern Mexico, primarily inhabiting the state of Sonora and known for their rich agricultural traditions and ceremonial dances.
  • D. Mayo
    Mayo is an Australian federal electoral division in South Australia, encompassing a mix of Adelaide Hills communities and regional areas.
  • E. Gustavus
    Gustavus is a Latinized masculine given name historically borne by several Swedish kings and used in various European and English-speaking contexts.
  • 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_69ca82bb74848190afb1f18640632c10 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb438bcb988190b58eff8616ac4073 completed March 31, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc945c743c8190bf1d8e60975bd8bc completed April 1, 2026, 3:43 a.m.
Created at: March 30, 2026, 5:33 p.m.