Triple

T13478831
Position Surface form Disambiguated ID Type / Status
Subject Tralee E318315 entity
Predicate hasTwinTown P919 FINISHED
Object Beauvais, France E343358 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: Beauvais, France | Statement: [Tralee, hasTwinTown, Beauvais, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beauvais, France
Context triple: [Tralee, hasTwinTown, Beauvais, France]
  • A. Bezons, France
    Bezons, France is a suburban commune in the northwestern outskirts of Paris known for hosting major corporate offices and technology companies.
  • B. Vaucresson, France
    Vaucresson, France is a small, affluent suburban commune in the western outskirts of Paris, known for its residential character and proximity to the capital.
  • C. Villemomble, France
    Villemomble, France is a suburban commune in the eastern outskirts of Paris, known as a residential area within the Seine-Saint-Denis department.
  • D. Étaples, France
    Étaples, France is a coastal town in northern France’s Pas-de-Calais department, historically known as a fishing port and for its role in World War I as the site of a major British military base and cemetery.
  • E. Beauvais chosen
    Beauvais is a historic city in northern France known for its impressive Gothic cathedral and role as the capital of the Oise department.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf266c508190930d30776c09ce35 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463340fc8190b1128bd1d26f91ab completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.