Triple

T9448374
Position Surface form Disambiguated ID Type / Status
Subject River Bann E227822 entity
Predicate flowsThrough P225 FINISHED
Object Portglenone E476085 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: Portglenone | Statement: [River Bann, flowsThrough, Portglenone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Portglenone
Context triple: [River Bann, flowsThrough, Portglenone]
  • A. Portglenone chosen
    Portglenone is a small village in Northern Ireland known for its riverside setting on the River Bann and its historic monastic and woodland surroundings.
  • B. Kilkeel
    Kilkeel is a coastal town in Northern Ireland known for its fishing port and proximity to the Mourne Mountains.
  • C. Airmagh
    Airmagh is the Ulster Scots name for the city of Armagh in Northern Ireland, known for its religious and historical significance.
  • D. Glenageary
    Glenageary is a suburban coastal area in County Dublin, Ireland, known for its residential character and proximity to Dublin Bay.
  • E. Ballykelly
    Ballykelly is a village in County Londonderry, Northern Ireland, historically noted for its military presence and as the site of the 1982 Droppin Well bombing during the Troubles.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f62dfa48190bf318777d97f0f2a completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152643bbc8190840f294442f2e1cc completed April 4, 2026, 6:03 p.m.
Created at: March 30, 2026, 7:51 p.m.