Triple

T1860416
Position Surface form Disambiguated ID Type / Status
Subject Saxonsburg, Pennsylvania E34797 entity
Predicate originalName P65 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: [Saxonsburg, Pennsylvania, originalName, Germania]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Germania
Context triple: [Saxonsburg, Pennsylvania, originalName, 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb09caee881908efe8aa38471298c completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaddc9188190bd49d6605fd0e812 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:34 p.m.