Triple

T1594267
Position Surface form Disambiguated ID Type / Status
Subject Havel E34243 entity
Predicate hasTributary P415 FINISHED
Object Dosse
The Dosse is a river in northeastern Germany that flows through Brandenburg and Saxony-Anhalt before joining the Havel.
 E180733 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: Dosse | Statement: [Havel, hasTributary, Dosse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dosse
Context triple: [Havel, hasTributary, Dosse]
  • A. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • B. Bône
    Bône, now known as Annaba, is a major port city in northeastern Algeria on the Mediterranean coast.
  • C. Jougne
    Jougne is a small French commune in the Doubs department of the Bourgogne-Franche-Comté region, known for its location near the Swiss border in the Jura Mountains.
  • D. Gironniera
    Gironniera is a genus of flowering trees and shrubs in the hemp family Cannabaceae, native to tropical regions of Asia and Africa.
  • E. Casteau
    Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
  • 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: Dosse
Triple: [Havel, hasTributary, Dosse]
Generated description
The Dosse is a river in northeastern Germany that flows through Brandenburg and Saxony-Anhalt before joining the Havel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dosse
Target entity description: The Dosse is a river in northeastern Germany that flows through Brandenburg and Saxony-Anhalt before joining the Havel.
  • A. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • B. Bône
    Bône, now known as Annaba, is a major port city in northeastern Algeria on the Mediterranean coast.
  • C. Jougne
    Jougne is a small French commune in the Doubs department of the Bourgogne-Franche-Comté region, known for its location near the Swiss border in the Jura Mountains.
  • D. Gironniera
    Gironniera is a genus of flowering trees and shrubs in the hemp family Cannabaceae, native to tropical regions of Asia and Africa.
  • E. Casteau
    Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9092aed308190a0198a0fb977a9e5 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad46a595488190a73cfa867595b568 completed March 8, 2026, 9:51 a.m.
NEDg Description generation batch_69ad47fde094819093f7f1240b7bd520 completed March 8, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69ad48550d4c8190bdaa68de5ba1b321 completed March 8, 2026, 9:58 a.m.
Created at: March 4, 2026, 7:27 p.m.