Triple

T6046391
Position Surface form Disambiguated ID Type / Status
Subject Giengen an der Brenz E134675 entity
Predicate hasTwinTown P919 FINISHED
Object Le Pré-Saint-Gervais
Le Pré-Saint-Gervais is a small suburban commune in the northeastern outskirts of Paris, France.
E564955 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: Le Pré-Saint-Gervais | Statement: [Giengen an der Brenz, hasTwinTown, Le Pré-Saint-Gervais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Pré-Saint-Gervais
Context triple: [Giengen an der Brenz, hasTwinTown, Le Pré-Saint-Gervais]
  • A. Billancourt
    Billancourt is a Paris Métro station in Boulogne-Billancourt serving the western suburbs of the French capital.
  • B. Beaugrenelle
    Beaugrenelle is a modern riverside district in Paris known for its high-rise architecture, shopping center, and contemporary urban design along the Seine.
  • C. Quartier Dauphiné
    Quartier Dauphiné is a neighborhood in Lyon, France, known as part of the city’s 3rd arrondissement and characterized by its urban residential setting and proximity to central Lyon.
  • D. Saint-Priest
    Saint-Priest is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
  • E. Courbevoie
    Courbevoie is a suburban commune in the Hauts-de-Seine department of the Île-de-France region, located just west of central Paris and known for encompassing part of the La Défense business 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: Le Pré-Saint-Gervais
Triple: [Giengen an der Brenz, hasTwinTown, Le Pré-Saint-Gervais]
Generated description
Le Pré-Saint-Gervais is a small suburban commune in the northeastern outskirts of Paris, France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Le Pré-Saint-Gervais
Target entity description: Le Pré-Saint-Gervais is a small suburban commune in the northeastern outskirts of Paris, France.
  • A. Billancourt
    Billancourt is a Paris Métro station in Boulogne-Billancourt serving the western suburbs of the French capital.
  • B. Beaugrenelle
    Beaugrenelle is a modern riverside district in Paris known for its high-rise architecture, shopping center, and contemporary urban design along the Seine.
  • C. Quartier Dauphiné
    Quartier Dauphiné is a neighborhood in Lyon, France, known as part of the city’s 3rd arrondissement and characterized by its urban residential setting and proximity to central Lyon.
  • D. Saint-Priest
    Saint-Priest is a suburban commune in eastern France that forms part of the metropolitan area of Lyon.
  • E. Courbevoie
    Courbevoie is a suburban commune in the Hauts-de-Seine department of the Île-de-France region, located just west of central Paris and known for encompassing part of the La Défense business 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e53f508190864be04bc016c525 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c113a2b65c8190a1891e790cb9a5de completed March 23, 2026, 10:19 a.m.
NEDg Description generation batch_69c11551bec88190be77db3ec96045ad completed March 23, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69c115f88e948190a3ea11b33742779c completed March 23, 2026, 10:29 a.m.
Created at: March 22, 2026, 4:09 p.m.