Triple

T21231997
Position Surface form Disambiguated ID Type / Status
Subject Newtownbutler E523242 entity
Predicate nearbyTown P3883 FINISHED
Object Lisnaskea 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: Lisnaskea | Statement: [Newtownbutler, nearbyTown, Lisnaskea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lisnaskea
Context triple: [Newtownbutler, nearbyTown, Lisnaskea]
  • A. Lisnaskea chosen
    Lisnaskea is a small market town in County Fermanagh, Northern Ireland, known for serving as a local commercial and community hub for the surrounding rural area.
  • B. Liski
    Liski is a town in southwestern Russia that serves as an important railway junction and administrative center within Voronezh Oblast.
  • C. Liausson
    Liausson is a small commune in southern France’s Hérault department, known for its scenic setting on the shores of the artificial Lac du Salagou.
  • D. Raisio
    Raisio is a town and municipality in southwestern Finland known for its industrial base and as the headquarters of the food company Raisio Group.
  • E. Linnuse
    Linnuse is a small village located on Muhu Island in western Estonia, known for its rural setting and traditional island culture.
  • 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734affc208190ab0c378af07e2ad2 completed April 21, 2026, 8:26 a.m.
Created at: April 16, 2026, 3:45 p.m.