Triple

T7976451
Position Surface form Disambiguated ID Type / Status
Subject Saverne E185457 entity
Predicate river P165 FINISHED
Object Zorn
The Zorn is a river in northeastern France that flows through the Alsace region and joins the Moder before ultimately contributing to the Rhine basin.
 E703131 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: Zorn | Statement: [Saverne, river, Zorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zorn
Context triple: [Saverne, river, Zorn]
  • A. Zorn
    Zorn is a Swedish surname most famously associated with the painter and etcher Anders Zorn, a leading figure in late 19th- and early 20th-century art.
  • B. Zurer
    Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
  • C. Son of Zorn
    Son of Zorn is a live-action/animated hybrid comedy television series that parodies sword-and-sorcery cartoons by following a barbarian warrior trying to reconnect with his family in suburban America.
  • D. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • E. Zog
    Zog is a children's picture book by Julia Donaldson, illustrated by Axel Scheffler, about an eager young dragon learning at dragon school.
  • 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: Zorn
Triple: [Saverne, river, Zorn]
Generated description
The Zorn is a river in northeastern France that flows through the Alsace region and joins the Moder before ultimately contributing to the Rhine basin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zorn
Target entity description: The Zorn is a river in northeastern France that flows through the Alsace region and joins the Moder before ultimately contributing to the Rhine basin.
  • A. Zorn
    Zorn is a Swedish surname most famously associated with the painter and etcher Anders Zorn, a leading figure in late 19th- and early 20th-century art.
  • B. Zurer
    Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
  • C. Son of Zorn
    Son of Zorn is a live-action/animated hybrid comedy television series that parodies sword-and-sorcery cartoons by following a barbarian warrior trying to reconnect with his family in suburban America.
  • D. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • E. Zog
    Zog is a children's picture book by Julia Donaldson, illustrated by Axel Scheffler, about an eager young dragon learning at dragon school.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf56f688190902b95afe42635ec completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe0cc09a081909cb92cd4864ef50d completed March 31, 2026, 2:57 p.m.
NEDg Description generation batch_69cbe43d29f8819080f7d729c4f28c75 completed March 31, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69cc32e2e1c48190b86218bff9af99f5 completed March 31, 2026, 8:47 p.m.
Created at: March 30, 2026, 5:14 p.m.