Triple

T7251782
Position Surface form Disambiguated ID Type / Status
Subject Marne, Iowa E157617 entity
Predicate hasName P744 FINISHED
Object Marne
Marne is a small city located in Cass County in the southwestern part of the U.S. state of Iowa.
 E662122 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: Marne | Statement: [Marne, Iowa, hasName, Marne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marne
Context triple: [Marne, Iowa, hasName, Marne]
  • A. Marne
    The Marne is a major river in northeastern France that flows through the Île-de-France region before joining the Seine near Paris.
  • B. Aisne
    Aisne is a department in northern France known for its historic towns, World War I battlefields, and rural landscapes.
  • C. Aisne
    Aisne is a river in northeastern France that flows through the Champagne and Picardy regions before joining the Oise River.
  • D. Vallée de la Marne
    Vallée de la Marne is a key subregion of France’s Champagne wine area, known for its vineyards along the Marne River and its significant production of Pinot Meunier–based sparkling wines.
  • E. Nièvre
    Nièvre is a rural department in central France’s Bourgogne-Franche-Comté region, known for its rolling countryside, the Loire River, and its capital city Nevers.
  • 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: Marne
Triple: [Marne, Iowa, hasName, Marne]
Generated description
Marne is a small city located in Cass County in the southwestern part of the U.S. state of Iowa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marne
Target entity description: Marne is a small city located in Cass County in the southwestern part of the U.S. state of Iowa.
  • A. Marne
    The Marne is a major river in northeastern France that flows through the Île-de-France region before joining the Seine near Paris.
  • B. Aisne
    Aisne is a department in northern France known for its historic towns, World War I battlefields, and rural landscapes.
  • C. Aisne
    Aisne is a river in northeastern France that flows through the Champagne and Picardy regions before joining the Oise River.
  • D. Vallée de la Marne
    Vallée de la Marne is a key subregion of France’s Champagne wine area, known for its vineyards along the Marne River and its significant production of Pinot Meunier–based sparkling wines.
  • E. Nièvre
    Nièvre is a rural department in central France’s Bourgogne-Franche-Comté region, known for its rolling countryside, the Loire River, and its capital city Nevers.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea7ae0e48190bd80c91bad1976c6 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810bb0d808190b6ade5592fce2c15 completed March 28, 2026, 5:32 p.m.
NEDg Description generation batch_69c813601d508190acfdab187844328b completed March 28, 2026, 5:44 p.m.
NED2 Entity disambiguation (via description) batch_69c815285d248190ae143d4bae262cb6 completed March 28, 2026, 5:51 p.m.
Created at: March 27, 2026, 2:56 p.m.