Triple

T1566779
Position Surface form Disambiguated ID Type / Status
Subject Disneyland Paris E33448 entity
Predicate nearCity P350 FINISHED
Object Chessy
Chessy is a small commune in the eastern suburbs of Paris, France, best known as the location of Disneyland Paris.
 E177698 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: Chessy | Statement: [Disneyland Paris, nearCity, Chessy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chessy
Context triple: [Disneyland Paris, nearCity, Chessy]
  • A. Chancy
    Chancy is a small Swiss municipality located at the western tip of the canton of Geneva, near the border with France.
  • B. Chappy
    Chappy is the informal nickname for Chappaquiddick Island, a small island off the eastern end of Martha’s Vineyard in Massachusetts.
  • C. Chatti
    The Chatti were an ancient Germanic tribe known from Roman sources, associated with the region of central Germany and often noted for their military prowess and conflicts with Rome.
  • D. Tchi-tchi
    "Tchi-tchi" is a popular song performed by French singer and actor Tino Rossi, known for his romantic and melodic style.
  • E. Gruchy
    Gruchy is a small hamlet in the Normandy region of France, best known as the birthplace of the painter Jean-François Millet.
  • 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: Chessy
Triple: [Disneyland Paris, nearCity, Chessy]
Generated description
Chessy is a small commune in the eastern suburbs of Paris, France, best known as the location of Disneyland Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chessy
Target entity description: Chessy is a small commune in the eastern suburbs of Paris, France, best known as the location of Disneyland Paris.
  • A. Chancy
    Chancy is a small Swiss municipality located at the western tip of the canton of Geneva, near the border with France.
  • B. Chappy
    Chappy is the informal nickname for Chappaquiddick Island, a small island off the eastern end of Martha’s Vineyard in Massachusetts.
  • C. Chatti
    The Chatti were an ancient Germanic tribe known from Roman sources, associated with the region of central Germany and often noted for their military prowess and conflicts with Rome.
  • D. Tchi-tchi
    "Tchi-tchi" is a popular song performed by French singer and actor Tino Rossi, known for his romantic and melodic style.
  • E. Gruchy
    Gruchy is a small hamlet in the Normandy region of France, best known as the birthplace of the painter Jean-François Millet.
  • 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_69a885f11b048190935025a035302715 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908a0314c8190a5ce3e32dd9035db completed March 5, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad371b99fc8190b8af03444fd1252b completed March 8, 2026, 8:45 a.m.
NEDg Description generation batch_69ad37e306948190bbaa14829ce094e6 completed March 8, 2026, 8:48 a.m.
NED2 Entity disambiguation (via description) batch_69ad38d106348190835d753c6cffcc48 completed March 8, 2026, 8:52 a.m.
Created at: March 4, 2026, 7:27 p.m.