Triple

T6553956
Position Surface form Disambiguated ID Type / Status
Subject Goussainville E152397 entity
Predicate hasNeighbouringCommune P33892 FINISHED
Object Louvres
Louvres is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
 E600166 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: Louvres | Statement: [Goussainville, hasNeighbouringCommune, Louvres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Louvres
Context triple: [Goussainville, hasNeighbouringCommune, Louvres]
  • A. Porte de Paris
    Porte de Paris is a historic city gate in Cambrai, France, notable for its monumental architecture and role as a former entrance to the fortified town.
  • B. Porte Dorée
    Porte Dorée is an ornate historic gateway of the Château de Fontainebleau, notable for its richly decorated Renaissance architecture.
  • C. Porte de Vincennes
    Porte de Vincennes is a major Parisian intersection and metro station in the 12th arrondissement, serving as a key gateway between central Paris and its eastern suburbs.
  • D. Pont de Sèvres
    Pont de Sèvres is a notable road and metro bridge over the Seine in the western suburbs of Paris, linking the commune of Sèvres with Boulogne-Billancourt.
  • E. 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.
  • 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: Louvres
Triple: [Goussainville, hasNeighbouringCommune, Louvres]
Generated description
Louvres is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Louvres
Target entity description: Louvres is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
  • A. Porte de Paris
    Porte de Paris is a historic city gate in Cambrai, France, notable for its monumental architecture and role as a former entrance to the fortified town.
  • B. Porte Dorée
    Porte Dorée is an ornate historic gateway of the Château de Fontainebleau, notable for its richly decorated Renaissance architecture.
  • C. Porte de Vincennes
    Porte de Vincennes is a major Parisian intersection and metro station in the 12th arrondissement, serving as a key gateway between central Paris and its eastern suburbs.
  • D. Pont de Sèvres
    Pont de Sèvres is a notable road and metro bridge over the Seine in the western suburbs of Paris, linking the commune of Sèvres with Boulogne-Billancourt.
  • E. 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.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae0847d88190b38f9d7dba0faae1 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb862e308190af1028c76484a1ea completed March 27, 2026, 6:25 p.m.
NEDg Description generation batch_69c6cd05c54c81908bb612e7976bd10a completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6cdc3ea7c8190b63e9a19721fea80 completed March 27, 2026, 6:34 p.m.
Created at: March 27, 2026, 1:51 p.m.