Triple

T7003628
Position Surface form Disambiguated ID Type / Status
Subject Carryduff River E162396 entity
Predicate flowsThrough P225 FINISHED
Object Carryduff E413151 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: Carryduff | Statement: [Carryduff River, flowsThrough, Carryduff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carryduff
Context triple: [Carryduff River, flowsThrough, Carryduff]
  • A. Carryduff chosen
    Carryduff is a small commuter town in Northern Ireland, situated just south of Belfast and known for its residential character and local amenities.
  • B. Shanballyduff
    Shanballyduff is a small rural village located in County Tipperary in the province of Munster, Ireland.
  • C. Dolavon
    Dolavon is a small town in Argentina’s Chubut Province, known for its agricultural activity and historic Welsh-immigrant heritage in the Patagonian region.
  • D. Drumshanbo
    Drumshanbo is a small town in County Leitrim, Ireland, known for its scenic setting near Lough Allen and its traditional music and cultural heritage.
  • E. Shanagarry
    Shanagarry is a small coastal village in County Cork, Ireland, known for its scenic shoreline and traditional rural character.
  • 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_69c6885928148190ae31909fbb5e9849 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc12af788190b3d06ffc46568410 completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a368d0881908e15e473bcd6f572 completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:33 p.m.