Triple

T2042714
Position Surface form Disambiguated ID Type / Status
Subject Yvelines E44779 entity
Predicate contains P35 FINISHED
Object Trappes
Trappes is a suburban commune in north-central France, located in the Yvelines department within the Île-de-France region near Paris.
 E352470 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: Trappes | Statement: [Yvelines, contains, Trappes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Trappes
Context triple: [Yvelines, contains, Trappes]
  • A. Créteil
    Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
  • B. Colombes
    Colombes is a suburban commune in the northwestern outskirts of Paris, France, known as a residential and historically significant town within the Île-de-France region.
  • C. Bourg-la-Reine
    Bourg-la-Reine is a residential suburb in the southern outskirts of Paris, France, known for its convenient commuter access to the capital and its quiet, small-town atmosphere.
  • D. Puteaux
    Puteaux is a suburban commune in the western outskirts of Paris, France, known for encompassing much of the La Défense business district.
  • E. Châtenay-Malabry
    Châtenay-Malabry is a suburban commune in the southwestern outskirts of Paris, France, known for its green spaces and residential character.
  • 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: Trappes
Triple: [Yvelines, contains, Trappes]
Generated description
Trappes is a suburban commune in north-central France, located in the Yvelines department within the Île-de-France region near Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Trappes
Target entity description: Trappes is a suburban commune in north-central France, located in the Yvelines department within the Île-de-France region near Paris.
  • A. Créteil
    Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
  • B. Colombes
    Colombes is a suburban commune in the northwestern outskirts of Paris, France, known as a residential and historically significant town within the Île-de-France region.
  • C. Bourg-la-Reine
    Bourg-la-Reine is a residential suburb in the southern outskirts of Paris, France, known for its convenient commuter access to the capital and its quiet, small-town atmosphere.
  • D. Puteaux
    Puteaux is a suburban commune in the western outskirts of Paris, France, known for encompassing much of the La Défense business district.
  • E. Châtenay-Malabry
    Châtenay-Malabry is a suburban commune in the southwestern outskirts of Paris, France, known for its green spaces and residential character.
  • 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_69b333ef7f30819086b538cdc2cefe0f completed March 12, 2026, 9:45 p.m.
NEDg Description generation batch_69b3346be15881908c60936094de64bc completed March 12, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_69b3355f4f0481909c9f3461eab6b72c completed March 12, 2026, 9:51 p.m.
Created at: March 4, 2026, 7:39 p.m.