Triple

T777111
Position Surface form Disambiguated ID Type / Status
Subject Elbe E16410 entity
Predicate tributary P415 FINISHED
Object Ohře
The Ohře is a river in Central Europe that flows through Germany and the Czech Republic before joining the Elbe.
E91943 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: Ohře | Statement: [Elbe, tributary, Ohře]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ohře
Context triple: [Elbe, tributary, Ohře]
  • A. Olgovichi
    Olgovichi were a prominent princely branch of the Rurikid dynasty that ruled various principalities in medieval Kievan Rus, particularly centered around Chernigov.
  • B. Pirna
    Pirna is a historic town in eastern Germany situated on the River Elbe, known as a gateway to the Saxon Switzerland National Park.
  • C. Nischel
    Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
  • D. Nowra
    Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
  • E. Ngäbere
    Ngäbere is an indigenous Chibchan language spoken primarily by the Ngäbe people in Panama and parts of Costa Rica.
  • 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: Ohře
Triple: [Elbe, tributary, Ohře]
Generated description
The Ohře is a river in Central Europe that flows through Germany and the Czech Republic before joining the Elbe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ohře
Target entity description: The Ohře is a river in Central Europe that flows through Germany and the Czech Republic before joining the Elbe.
  • A. Olgovichi
    Olgovichi were a prominent princely branch of the Rurikid dynasty that ruled various principalities in medieval Kievan Rus, particularly centered around Chernigov.
  • B. Pirna
    Pirna is a historic town in eastern Germany situated on the River Elbe, known as a gateway to the Saxon Switzerland National Park.
  • C. Nischel
    Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
  • D. Nowra
    Nowra is a regional town in New South Wales, Australia, situated on the Shoalhaven River and serving as a commercial and administrative centre for the surrounding South Coast area.
  • E. Breyten
    Breyten is the given name of Breyten Breytenbach, the renowned South African poet, painter, and anti-apartheid activist.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a74da7648190adfad56717d564df completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d9dd9b48190ba7fae75db01c114 completed March 3, 2026, 5:11 a.m.
NEDg Description generation batch_69a66f03f1e88190a2a7cdbe57f57bc2 completed March 3, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69a66fa5123c819085ee7cef0c7013c9 completed March 3, 2026, 5:20 a.m.
Created at: March 1, 2026, 7:37 p.m.