Triple

T2182939
Position Surface form Disambiguated ID Type / Status
Subject Chêne-Bougeries E49085 entity
Predicate hasNeighbourhood P4813 FINISHED
Object La Mairie
La Mairie is a neighborhood of Chêne-Bougeries, a suburban municipality in the canton of Geneva, Switzerland.
 E243264 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: La Mairie | Statement: [Chêne-Bougeries, hasNeighbourhood, La Mairie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Mairie
Context triple: [Chêne-Bougeries, hasNeighbourhood, La Mairie]
  • A. The Ville
    The Ville is a colloquial nickname for the city of Somerville, Massachusetts, used especially by locals and in regional culture.
  • 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 the dedicated student cheering section for the University of Louisville Cardinals women’s basketball team.
  • D. Les Halles
    Les Halles is a major underground transport hub and commercial area in central Paris, historically known as the city’s main market district.
  • E. Le Ventre de Paris
    Le Ventre de Paris is a naturalist novel by Émile Zola that vividly portrays life around Paris’s central market, Les Halles, while exploring themes of social conflict, hunger, and abundance.
  • 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: La Mairie
Triple: [Chêne-Bougeries, hasNeighbourhood, La Mairie]
Generated description
La Mairie is a neighborhood of Chêne-Bougeries, a suburban municipality in the canton of Geneva, Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Mairie
Target entity description: La Mairie is a neighborhood of Chêne-Bougeries, a suburban municipality in the canton of Geneva, Switzerland.
  • A. The Ville
    The Ville is a colloquial nickname for the city of Somerville, Massachusetts, used especially by locals and in regional culture.
  • 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 the dedicated student cheering section for the University of Louisville Cardinals women’s basketball team.
  • D. Les Halles
    Les Halles is a major underground transport hub and commercial area in central Paris, historically known as the city’s main market district.
  • E. Le Ventre de Paris
    Le Ventre de Paris is a naturalist novel by Émile Zola that vividly portrays life around Paris’s central market, Les Halles, while exploring themes of social conflict, hunger, and abundance.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf0d551881909d7f907378e1b2b7 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da786e48190896cae8fdcee3d83 completed March 9, 2026, 5:41 a.m.
NEDg Description generation batch_69ae5e30a69c8190a3f77e784401f671 completed March 9, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ea7909c8190a93d87a5d07b84d4 completed March 9, 2026, 5:46 a.m.
Created at: March 4, 2026, 7:45 p.m.