Triple

T15229147
Position Surface form Disambiguated ID Type / Status
Subject Abbeville E363952 entity
Predicate departmentCapitalOf P18552 FINISHED
Object Somme (until 1802) E74035 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: Somme (until 1802) | Statement: [Abbeville, departmentCapitalOf, Somme (until 1802)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somme (until 1802)
Context triple: [Abbeville, departmentCapitalOf, Somme (until 1802)]
  • A. Albert, Somme
    Albert, Somme is a small town in northern France that served as a key logistical and front-line center during the Battle of the Somme in World War I.
  • B. Somme River
    The Somme River is a waterway in northern France that became historically significant as the site of one of World War I’s largest and bloodiest battles.
  • C. Somme, France chosen
    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. Somme-Leuze
    Somme-Leuze is a rural municipality in the Walloon region of Belgium, located in the hilly Condroz area and known for its scenic countryside and small villages.
  • E. Marne
    Marne is a department in northeastern France known for its Champagne-producing vineyards and historic towns such as Reims and Châlons-en-Champagne.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078ccdf48190b34eabd9e24e45a1 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd39d42881908f2ad47613e23bfa completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.