Triple

T4036438
Position Surface form Disambiguated ID Type / Status
Subject Aisne E83838 entity
Predicate borders P224 FINISHED
Object Somme 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 | Statement: [Aisne, borders, Somme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somme
Context triple: [Aisne, borders, Somme]
  • A. 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.
  • B. Verdun
    Verdun is a borough of Montreal, Quebec, known for its historic waterfront along the St. Lawrence River and its mix of residential neighborhoods and urban amenities.
  • C. Yser Front
    The Yser Front was a key World War I defensive line in western Belgium where Belgian forces halted the German advance along the Yser River.
  • D. Battle of Verdun
    The Battle of Verdun was one of the longest and bloodiest engagements of World War I, symbolizing the brutal attrition warfare on the Western Front between France and Germany in 1916.
  • E. 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.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb349e648190b9f227df4cd76fa0 completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b556415ebc8190a528c7e22dbf70df completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:36 p.m.