Triple

T267849
Position Surface form Disambiguated ID Type / Status
Subject Metropolregion Mitteldeutschland E5771 entity
Predicate hasMember P10 FINISHED
Object City of Gera
The City of Gera is a medium-sized city in the German state of Thuringia, historically known as an industrial and cultural center in eastern Germany.
E35113 NE FINISHED

How this triple was built (4 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: City of Gera | Statement: [Metropolregion Mitteldeutschland, hasMember, City of Gera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Gera
Context triple: [Metropolregion Mitteldeutschland, hasMember, City of Gera]
  • A. Gori
    Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
  • B. Ciudad de los Reyes
    Ciudad de los Reyes is the historical name of Lima, the capital and largest city of Peru, founded by the Spanish in the 16th century.
  • C. Kadmat
    Kadmat is a coral island in India’s Lakshadweep archipelago, known for its white-sand beaches, clear lagoons, and vibrant marine life that make it a popular destination for snorkeling and diving.
  • D. Sidon
    Sidon is an ancient Phoenician port city, located in present-day Lebanon, that was a major center of maritime trade and culture in the eastern Mediterranean.
  • E. Gerswalde
    Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: City of Gera
Triple: [Metropolregion Mitteldeutschland, hasMember, City of Gera]
Generated description
The City of Gera is a medium-sized city in the German state of Thuringia, historically known as an industrial and cultural center in eastern Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: City of Gera
Target entity description: The City of Gera is a medium-sized city in the German state of Thuringia, historically known as an industrial and cultural center in eastern Germany.
  • A. Gori
    Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
  • B. Ciudad de los Reyes
    Ciudad de los Reyes is the historical name of Lima, the capital and largest city of Peru, founded by the Spanish in the 16th century.
  • C. Kadmat
    Kadmat is a coral island in India’s Lakshadweep archipelago, known for its white-sand beaches, clear lagoons, and vibrant marine life that make it a popular destination for snorkeling and diving.
  • D. Sidon
    Sidon is an ancient Phoenician port city, located in present-day Lebanon, that was a major center of maritime trade and culture in the eastern Mediterranean.
  • E. Gerswalde
    Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
  • F. None of above. chosen

Provenance (5 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_69a2587daeb081909591b9d30f80a271 completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25dae4a0c8190a66cf6ed3889851c completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38b9082b8819099cd5e7fe3c7335f completed March 1, 2026, 12:42 a.m.
NEDg Description generation batch_69a38e18d48881908603e803b502680c completed March 1, 2026, 12:53 a.m.
NED2 Entity disambiguation (via description) batch_69a38eb171dc8190ba4d0f5d377df998 completed March 1, 2026, 12:56 a.m.
Created at: Feb. 28, 2026, 2:56 a.m.