Triple

T9272765
Position Surface form Disambiguated ID Type / Status
Subject Dál gCais E222870 entity
Predicate originatesFrom P26 FINISHED
Object north Munster E61441 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: north Munster | Statement: [Dál gCais, originatesFrom, north Munster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: north Munster
Context triple: [Dál gCais, originatesFrom, north Munster]
  • A. South Cork
    South Cork is an electoral and administrative division within County Cork in Ireland, encompassing part of the county’s southern region.
  • B. North Cork
    North Cork is a subregion of County Cork in Ireland, characterized by its rural landscapes, market towns, and agricultural economy.
  • C. West Cork
    West Cork is a scenic and largely rural region in southwest Ireland known for its rugged coastline, peninsulas, and strong cultural and historical identity.
  • D. Munster
    Munster is a small town in the Grand Est region of northeastern France, known for its namesake strong-smelling cheese and picturesque setting in the Vosges mountains.
  • E. Munster chosen
    Munster is a historic province in the south of Ireland, known for its major role in Irish history, culture, and conflicts, including the 17th-century wars.
  • 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0787d2e48190ad56cf3abf12d409 completed April 1, 2026, 11:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c355e7c819083a0101c763abd98 completed April 4, 2026, 5:05 a.m.
Created at: March 30, 2026, 7:33 p.m.