Triple

T9688394
Position Surface form Disambiguated ID Type / Status
Subject Town of Paris, Wisconsin E234472 entity
Predicate hasName P744 FINISHED
Object Town of Paris
The Town of Paris is a small rural municipality located in Kenosha County, Wisconsin, known for its agricultural landscape and quiet residential character.
 E814815 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: Town of Paris | Statement: [Town of Paris, Wisconsin, hasName, Town of Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Town of Paris
Context triple: [Town of Paris, Wisconsin, hasName, Town of Paris]
  • A. Cité
    Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
  • B. The Ville
    The Ville is a colloquial nickname commonly used to refer to the city of Maryville, Missouri.
  • C. The Ville
    The Ville is a colloquial nickname for the city of Somerville, Massachusetts, used especially by locals and in regional culture.
  • D. The Ville
    The Ville is the dedicated student cheering section for the University of Louisville Cardinals women’s basketball team.
  • E. Les Places
    Les Places is a small commune in the Eure department of the Normandy region in northern France.
  • 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: Town of Paris
Triple: [Town of Paris, Wisconsin, hasName, Town of Paris]
Generated description
The Town of Paris is a small rural municipality located in Kenosha County, Wisconsin, known for its agricultural landscape and quiet residential character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Town of Paris
Target entity description: The Town of Paris is a small rural municipality located in Kenosha County, Wisconsin, known for its agricultural landscape and quiet residential character.
  • A. Cité
    Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
  • B. The Ville
    The Ville is a colloquial nickname commonly used to refer to the city of Maryville, Missouri.
  • C. The Ville
    The Ville is a colloquial nickname for the city of Somerville, Massachusetts, used especially by locals and in regional culture.
  • D. The Ville
    The Ville is the dedicated student cheering section for the University of Louisville Cardinals women’s basketball team.
  • E. Les Places
    Les Places is a small commune in the Eure department of the Normandy region in northern France.
  • 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9d019d40819095059a4d6167900a completed April 1, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1910f94048190bf72712ed55e355b completed April 4, 2026, 10:30 p.m.
NEDg Description generation batch_69d19327f0b481908be85bcb0deccb46 completed April 4, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_69d193fac390819092dd913dc78e2841 completed April 4, 2026, 10:43 p.m.
Created at: March 30, 2026, 8:17 p.m.