Triple

T1288639
Position Surface form Disambiguated ID Type / Status
Subject Monmouthshire E27493 entity
Predicate hasAdministrativeCentre P1474 FINISHED
Object Usk E20796 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: Usk | Statement: [Monmouthshire, hasAdministrativeCentre, Usk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Usk
Context triple: [Monmouthshire, hasAdministrativeCentre, Usk]
  • A. Usk chosen
    Usk is a small historic town in Monmouthshire, southeast Wales, known for its medieval castle and picturesque setting on the River Usk.
  • B. Avusy
    Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, near the French border.
  • C. Uatsdin
    Uatsdin is the modern revival of the indigenous Ossetian ethnic religion, centered on traditional deities, rituals, and ancestral customs of the Ossetian people.
  • D. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • E. Goytre
    Goytre is a village and community located within the county borough of Neath Port Talbot in South Wales.
  • 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_69a496d4ec448190ad653b2590c46711 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0d38d7c81908941edda9cac5d6a completed March 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacbc7cd48190b06398486e5b30ba completed March 7, 2026, 10:54 p.m.
Created at: March 1, 2026, 7:51 p.m.