Triple

T2603050
Position Surface form Disambiguated ID Type / Status
Subject Slough E58388 entity
Predicate hasTwinTown P919 FINISHED
Object Ypres, Belgium E92602 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: Ypres, Belgium | Statement: [Slough, hasTwinTown, Ypres, Belgium]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ypres, Belgium
Context triple: [Slough, hasTwinTown, Ypres, Belgium]
  • A. Ypres chosen
    Ypres is a historic town in western Belgium that was the site of several major and devastating battles during World War I.
  • B. Vimy, France
    Vimy, France is a commune in northern France best known as the site of the Canadian National Vimy Memorial commemorating World War I.
  • C. Somme, France
    Somme, France is a department in northern France best known as the site of major World War I battles, including the Battle of the Somme.
  • D. Bazentin, Picardy, France
    Bazentin is a small commune in the Picardy region of northern France, historically notable as the birthplace of naturalist Jean-Baptiste Lamarck and for its location in the Somme battlefield area of World War I.
  • E. Armentières
    Armentières is a commune in northern France near the Belgian border, historically known for its textile industry and World War I significance.
  • 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_69ab4ac14040819098b13f4a27d5c8ff completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd48241c48190bc80418212e33bc8 completed March 7, 2026, 7:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83d6daa4819087ee111e648ce71d completed March 10, 2026, 2:37 a.m.
Created at: March 6, 2026, 9:49 p.m.