Triple

T19195131
Position Surface form Disambiguated ID Type / Status
Subject River Barrow E469945 entity
Predicate flowsThrough P225 FINISHED
Object Bagenalstown NE NERFINISHED

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: Bagenalstown | Statement: [River Barrow, flowsThrough, Bagenalstown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bagenalstown
Context triple: [River Barrow, flowsThrough, Bagenalstown]
  • A. Bagenalstown chosen
    Bagenalstown is a small market town in County Carlow, Ireland, situated on the River Barrow and known for its historic architecture and canal-side setting.
  • B. Gowran
    Gowran is a historic village in County Kilkenny, Ireland, known for its medieval heritage and proximity to the River Barrow.
  • C. Dungarvan
    Dungarvan is a coastal town in County Waterford, Ireland, known for its harbor, historic architecture, and scenic setting along the southeast coast.
  • D. Enniscrone
    Enniscrone is a coastal resort town in County Sligo, Ireland, known for its long sandy beach, surfing, and seaside tourism.
  • E. Fermoy
    Fermoy is a market town on the River Blackwater in southern Ireland known historically as a garrison town and regional commercial center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a4d6b4819083fc5dd4dab05811 completed April 20, 2026, 9:57 a.m.
Created at: April 10, 2026, 12:07 p.m.