Triple

T6603884
Position Surface form Disambiguated ID Type / Status
Subject Lough Allen E149062 entity
Predicate nearSettlement P3883 FINISHED
Object Drumshanbo E586344 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: Drumshanbo | Statement: [Lough Allen, nearSettlement, Drumshanbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drumshanbo
Context triple: [Lough Allen, nearSettlement, Drumshanbo]
  • A. Drumshanbo chosen
    Drumshanbo is a small town in County Leitrim, Ireland, known for its scenic setting near Lough Allen and its traditional music and cultural heritage.
  • B. Shanagarry
    Shanagarry is a small coastal village in County Cork, Ireland, known for its scenic shoreline and traditional rural character.
  • 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. Drumgelloch
    Drumgelloch is a residential area and railway station in Airdrie, North Lanarkshire, Scotland, served by commuter trains into Glasgow.
  • E. Innisfail
    Innisfail is a coastal town in Far North Queensland, Australia, known for its sugar cane industry and frequent tropical rainfall.
  • 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af11f0788190be010c6ee60e150c completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7006b27f08190b06427480689bdbd completed March 27, 2026, 10:10 p.m.
Created at: March 27, 2026, 1:56 p.m.