Triple

T760909
Position Surface form Disambiguated ID Type / Status
Subject Toulouse E16066 entity
Predicate nickname P55 FINISHED
Object La Ville Rose
La Ville Rose is the affectionate nickname for the French city of Toulouse, referencing its distinctive pink-hued brick architecture.
 E105062 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 Ville Rose | Statement: [Toulouse, nickname, La Ville Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Ville Rose
Context triple: [Toulouse, nickname, La Ville Rose]
  • A. Montmartre
    Montmartre is a historic hilltop district in Paris known for its artistic heritage, bohemian atmosphere, and panoramic views over the city.
  • B. The Ville
    The Ville is a colloquial nickname for the city of Somerville, Massachusetts, used especially by locals and in regional culture.
  • C. City of Light
    City of Light is a famous nickname for Paris, highlighting its historic role as a center of art, culture, and enlightenment.
  • D. City of Light
    City of Light is the nickname of Eindhoven, a Dutch city renowned for its historic association with Philips and its innovative lighting and technology industries.
  • 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 Ville Rose
Triple: [Toulouse, nickname, La Ville Rose]
Generated description
La Ville Rose is the affectionate nickname for the French city of Toulouse, referencing its distinctive pink-hued brick architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: La Ville Rose
Target entity description: La Ville Rose is the affectionate nickname for the French city of Toulouse, referencing its distinctive pink-hued brick architecture.
  • A. Montmartre
    Montmartre is a historic hilltop district in Paris known for its artistic heritage, bohemian atmosphere, and panoramic views over the city.
  • B. The Ville
    The Ville is a colloquial nickname for the city of Somerville, Massachusetts, used especially by locals and in regional culture.
  • C. City of Light
    City of Light is a famous nickname for Paris, highlighting its historic role as a center of art, culture, and enlightenment.
  • D. City of Light
    City of Light is the nickname of Eindhoven, a Dutch city renowned for its historic association with Philips and its innovative lighting and technology industries.
  • 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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a682e7d081909c9cd7839a49fb0b completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c009d5048190b2a137b6ed8b60ec completed March 4, 2026, 5:15 a.m.
NEDg Description generation batch_69a7c0716e708190b907502b17b671f8 completed March 4, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69a7c0d166ac819089b683e7cee92043 completed March 4, 2026, 5:19 a.m.
Created at: March 1, 2026, 7:37 p.m.