Triple

T17307900
Position Surface form Disambiguated ID Type / Status
Subject Fifth Army E420210 entity
Predicate sector P71 FINISHED
Object Somme sector NE NERFINISHED

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 sector | Statement: [Fifth Army, sector, Somme sector]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Somme sector
Context triple: [Fifth Army, sector, Somme sector]
  • A. 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.
  • B. 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.
  • C. Somme region chosen
    The Somme region is an area in northern France historically significant as the site of major World War I battles, particularly the Battle of the Somme.
  • D. Longueval
    Longueval is a village in the Somme department of northern France, known for its proximity to key World War I battlefields including Delville Wood.
  • E. Bazentin
    Bazentin is a commune in northern France notable as the birthplace of the pioneering evolutionary biologist Jean-Baptiste Lamarck.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43900eca88190930af0e4ec4fc0f9 completed April 19, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:43 a.m.