Triple

T10241767
Position Surface form Disambiguated ID Type / Status
Subject Boston, Lincolnshire E243609 entity
Predicate hasTwinTown P919 FINISHED
Object Laval, France E597188 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: Laval, France | Statement: [Boston, Lincolnshire, hasTwinTown, Laval, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laval, France
Context triple: [Boston, Lincolnshire, hasTwinTown, Laval, France]
  • A. Laval, Mayenne, France chosen
    Laval, Mayenne, France is a historic town in northwestern France known for its medieval architecture and as the birthplace of the painter Henri Rousseau.
  • B. Laval
    Laval is a major city in western France, located in the Mayenne department, known for its historic architecture and role as an administrative and economic center of the region.
  • C. Laval
    Laval is a large suburban city and island located just north of Montreal in southwestern Quebec, Canada.
  • D. Laval
    Laval is a French surname most notably associated with Pierre Laval, a prominent and controversial political figure during the Vichy regime in World War II.
  • E. Fontainebleau, France
    Fontainebleau, France is a historic town southeast of Paris best known for its vast forest and royal château, long associated with French monarchs and outdoor recreation.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d21f2ae0819098ac60c828dc9cae completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f780c7808190993e7c37cb4d18a3 completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:24 a.m.