Triple

T2042718
Position Surface form Disambiguated ID Type / Status
Subject Yvelines E44779 entity
Predicate contains P35 FINISHED
Object Chatou
Chatou is a suburban commune in north-central France, located along the Seine River to the west of Paris and known for its Impressionist art heritage.
 E227647 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: Chatou | Statement: [Yvelines, contains, Chatou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chatou
Context triple: [Yvelines, contains, Chatou]
  • A. Bourgueil
    Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
  • B. Ouchy
    Ouchy is a picturesque lakeside district of Lausanne on the shores of Lake Geneva, known for its promenades, parks, and views of the Alps.
  • C. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • D. Noisy-le-Grand
    Noisy-le-Grand is a suburban commune in the eastern outskirts of Paris, France, known for its modern architecture and role as a business and educational hub within the Marne-la-Vallée area.
  • E. Palaiseau
    Palaiseau is a suburban commune in the southern outskirts of Paris, France, known for hosting major scientific and engineering institutions.
  • 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: Chatou
Triple: [Yvelines, contains, Chatou]
Generated description
Chatou is a suburban commune in north-central France, located along the Seine River to the west of Paris and known for its Impressionist art heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chatou
Target entity description: Chatou is a suburban commune in north-central France, located along the Seine River to the west of Paris and known for its Impressionist art heritage.
  • A. Bourgueil
    Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
  • B. Ouchy
    Ouchy is a picturesque lakeside district of Lausanne on the shores of Lake Geneva, known for its promenades, parks, and views of the Alps.
  • C. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • D. Noisy-le-Grand
    Noisy-le-Grand is a suburban commune in the eastern outskirts of Paris, France, known for its modern architecture and role as a business and educational hub within the Marne-la-Vallée area.
  • E. Palaiseau
    Palaiseau is a suburban commune in the southern outskirts of Paris, France, known for hosting major scientific and engineering institutions.
  • 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_69a889159ec481908f9e4472d9f480c7 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb95587348190bb5719faeaf0aa5d completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ffe98248190b6a4428c6c094d35 completed March 9, 2026, 1:18 a.m.
NEDg Description generation batch_69ae204fe6148190915219beb27128bc completed March 9, 2026, 1:20 a.m.
NED2 Entity disambiguation (via description) batch_69ae20d09c748190aebbfb88f0eedbaa completed March 9, 2026, 1:22 a.m.
Created at: March 4, 2026, 7:39 p.m.