Triple

T1969392
Position Surface form Disambiguated ID Type / Status
Subject Gallic Empire E42763 entity
Predicate territoryIncludes P285 FINISHED
Object Germania E78932 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: Germania | Statement: [Gallic Empire, territoryIncludes, Germania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germania
Context triple: [Gallic Empire, territoryIncludes, Germania]
  • A. Germania chosen
    Germania was the ancient Roman term for the vast region of central Europe inhabited by various Germanic tribes beyond the empire’s northeastern frontiers.
  • B. Prussia
    Prussia was a historically powerful German state and kingdom that became a leading military and political force in Europe, ultimately playing a central role in the unification of Germany.
  • C. German Empire
    The German Empire was a unified German nation-state that existed from 1871 to 1918 under Prussian-dominated imperial rule, culminating in its defeat in World War I.
  • D. Germany
    Germany is a major Central European country known for its pivotal role in 20th-century history, its strong industrial economy, and its influential contributions to science, philosophy, music, and engineering.
  • E. Bavaria
    Bavaria is a historic region and federal state in southeastern Germany, known for its distinct cultural traditions, large size and population, and major cities such as Munich.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3d17274819084cd352a3d2a8151 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fd7b46c819094467fcafe61aa6e completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:36 p.m.