Triple

T2317456
Position Surface form Disambiguated ID Type / Status
Subject Goslar E51097 entity
Predicate locatedOnRiver P165 FINISHED
Object Gose
Gose is a small river in Lower Saxony, Germany, historically associated with the town of Goslar and the traditional sour wheat beer style that bears its name.
E256504 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: Gose | Statement: [Goslar, locatedOnRiver, Gose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gose
Context triple: [Goslar, locatedOnRiver, Gose]
  • A. Gose
    Gose is a small city in Japan’s Nara Prefecture known for its historic temples, traditional townscapes, and proximity to the Kongo and Katsuragi mountain ranges.
  • B. Somero
    Somero is a small town and municipality in southwestern Finland known for its rural landscapes and agricultural heritage.
  • C. Golo
    Golo is a masculine given name most notably borne by the German historian and essayist Golo Mann.
  • D. Gorely
    Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
  • E. Sulmo
    Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
  • 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: Gose
Triple: [Goslar, locatedOnRiver, Gose]
Generated description
Gose is a small river in Lower Saxony, Germany, historically associated with the town of Goslar and the traditional sour wheat beer style that bears its name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gose
Target entity description: Gose is a small river in Lower Saxony, Germany, historically associated with the town of Goslar and the traditional sour wheat beer style that bears its name.
  • A. Gose
    Gose is a small city in Japan’s Nara Prefecture known for its historic temples, traditional townscapes, and proximity to the Kongo and Katsuragi mountain ranges.
  • B. Somero
    Somero is a small town and municipality in southwestern Finland known for its rural landscapes and agricultural heritage.
  • C. Golo
    Golo is a masculine given name most notably borne by the German historian and essayist Golo Mann.
  • D. Gorely
    Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
  • E. Sulmo
    Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc62df2048190ac7a5ebc0a4139b2 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8964902081909070dd03ccb7cf1f completed March 9, 2026, 8:48 a.m.
NEDg Description generation batch_69ae8ab5bf78819085120418a26cbe28 completed March 9, 2026, 8:54 a.m.
NED2 Entity disambiguation (via description) batch_69ae8b2a89788190975ab66f432f834f completed March 9, 2026, 8:56 a.m.
Created at: March 4, 2026, 7:49 p.m.