Triple

T7771348
Position Surface form Disambiguated ID Type / Status
Subject River Moy E179075 entity
Predicate nearbySettlement P350 FINISHED
Object Foxford E681838 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: Foxford | Statement: [River Moy, nearbySettlement, Foxford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foxford
Context triple: [River Moy, nearbySettlement, Foxford]
  • A. Foxford chosen
    Foxford is a small Irish town in County Mayo known for its historic woollen mills and scenic location on the River Moy.
  • B. Rostrevor
    Rostrevor is a picturesque village in County Down, Northern Ireland, known for its scenic setting between the Mourne Mountains and Carlingford Lough.
  • C. Urlingford
    Urlingford is a small town in Ireland known for its location near the border of County Kilkenny and County Tipperary and its position along the main Dublin–Cork route.
  • D. Fearn
    Fearn is a historic parish in Ross-shire in the Scottish Highlands, known for its rural character and longstanding ecclesiastical heritage.
  • E. Galtymore
    Galtymore is a prominent mountain in the Galtee range on the border of Counties Limerick and Tipperary in Ireland, known for its challenging hikes and scenic views.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7045ebae88190a04c8f972795e615 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7ead45c8190847365d8549eefab completed March 29, 2026, 6:34 a.m.
Created at: March 27, 2026, 4:11 p.m.