Triple

T16421547
Position Surface form Disambiguated ID Type / Status
Subject Kilmichael, County Cork, Ireland E398829 entity
Predicate nearbySettlement P350 FINISHED
Object Macroom E379370 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: Macroom | Statement: [Kilmichael, County Cork, Ireland, nearbySettlement, Macroom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Macroom
Context triple: [Kilmichael, County Cork, Ireland, nearbySettlement, Macroom]
  • A. Macroom chosen
    Macroom is a market town in western County Cork, Ireland, situated on the River Sullane and known historically as a regional commercial and agricultural center.
  • B. MacSeóin
    MacSeóin is an Irish-language surname form corresponding to the English name Jones.
  • C. Keady
    Keady is a small town and historic settlement in County Armagh, Northern Ireland, known for its traditional linen industry and rural character.
  • D. Keady
    Keady is a surname most prominently associated with Gene Keady, the longtime head coach of the Purdue University men's basketball team.
  • E. Múscraí
    Múscraí is an Irish-speaking (Gaeltacht) region in County Cork known for its strong traditional culture, language, and rural landscape.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328f735b08190aec8331f54817462 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6e882c81908fae034f1b75b7ee completed May 10, 2026, 8:06 a.m.
Created at: April 10, 2026, 5:09 a.m.