Triple

T11854166
Position Surface form Disambiguated ID Type / Status
Subject Erfurt E281989 entity
Predicate locatedOnRiver P165 FINISHED
Object Gera River
The Gera River is a waterway in central Germany that flows through the city of Erfurt in the state of Thuringia.
 E1028362 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: Gera River | Statement: [Erfurt, locatedOnRiver, Gera River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gera River
Context triple: [Erfurt, locatedOnRiver, Gera River]
  • A. Würm River
    The Würm River is a small river in Bavaria, Germany, known for flowing north from Lake Starnberg through towns such as Gauting and Starnberg before joining the Amper River.
  • B. Unstrut River
    The Unstrut River is a tributary of the Saale in central Germany, flowing through Thuringia and Saxony-Anhalt and known for its scenic valleys, vineyards, and historic towns.
  • C. Saale
    The Saale is a major river in central Germany that flows through the states of Thuringia, Saxony-Anhalt, and Bavaria before joining the Elbe.
  • D. Werra
    The Werra is a major river in central Germany that forms one of the two headstreams of the Weser.
  • E. Örtze River
    The Örtze River is a river in Lower Saxony, Germany, known for flowing through the Lüneburg Heath before joining the Aller.
  • 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: Gera River
Triple: [Erfurt, locatedOnRiver, Gera River]
Generated description
The Gera River is a waterway in central Germany that flows through the city of Erfurt in the state of Thuringia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gera River
Target entity description: The Gera River is a waterway in central Germany that flows through the city of Erfurt in the state of Thuringia.
  • A. Würm River
    The Würm River is a small river in Bavaria, Germany, known for flowing north from Lake Starnberg through towns such as Gauting and Starnberg before joining the Amper River.
  • B. Unstrut River
    The Unstrut River is a tributary of the Saale in central Germany, flowing through Thuringia and Saxony-Anhalt and known for its scenic valleys, vineyards, and historic towns.
  • C. Saale
    The Saale is a major river in central Germany that flows through the states of Thuringia, Saxony-Anhalt, and Bavaria before joining the Elbe.
  • D. Werra
    The Werra is a major river in central Germany that forms one of the two headstreams of the Weser.
  • E. Örtze River
    The Örtze River is a river in Lower Saxony, Germany, known for flowing through the Lüneburg Heath before joining the Aller.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a697f4108190af984932d2118472 completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6fef311c4819094b6b08a62d3afb3 completed May 3, 2026, 7:53 a.m.
NEDg Description generation batch_69f703108c4c8190be112015f69ea089 completed May 3, 2026, 8:10 a.m.
NED2 Entity disambiguation (via description) batch_69f7040e32a4819083a9f4efe96fd9ca completed May 3, 2026, 8:15 a.m.
Created at: April 8, 2026, 9:43 p.m.