Triple

T368826
Position Surface form Disambiguated ID Type / Status
Subject Plan White E8222 entity
Predicate hasAlternativeName P39 FINISHED
Object Fall Weiss E1503 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: Fall Weiss | Statement: [Plan White, hasAlternativeName, Fall Weiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fall Weiss
Context triple: [Plan White, hasAlternativeName, Fall Weiss]
  • A. Fall Weiss chosen
    Fall Weiss was the codename for Nazi Germany’s military plan to invade Poland in September 1939, marking the beginning of World War II in Europe.
  • B. Fall Blau
    Fall Blau was the German Wehrmacht’s 1942 summer offensive on the Eastern Front aimed at capturing the oil fields of the Caucasus and advancing toward Stalingrad during World War II.
  • C. Leaf Storm
    Leaf Storm is a novella by Gabriel García Márquez that introduces the fictional town of Macondo and explores themes of solitude, memory, and moral conflict.
  • D. Foege
    Foege is the surname of William H. Foege, an American epidemiologist renowned for his pivotal role in the global eradication of smallpox.
  • E. Blatch
    Blatch is the surname of Nora Stanton Blatch, an early 20th-century American civil engineer, suffragist, and women's rights activist.
  • 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_69a2e7f2ec648190b42bc7db424f8109 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebeab13c8190b15c2f10310ec6a8 completed Feb. 28, 2026, 1:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3ecaaf780819081db5cfbe8af0894 completed March 1, 2026, 7:37 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.