Triple

T13655062
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Pontoise E326838 entity
Predicate contains P35 FINISHED
Object Frepillon
Frepillon is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
E1120369 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: Frepillon | Statement: [arrondissement of Pontoise, contains, Frepillon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frepillon
Context triple: [arrondissement of Pontoise, contains, Frepillon]
  • A. Étrépagny
    Étrépagny is a commune in the Eure department of the Normandy region in northern France.
  • B. Vaucresson
    Vaucresson is a suburban commune in the western outskirts of Paris, France, known for its residential character and green surroundings.
  • C. Le Pecq
    Le Pecq is a suburban commune in the Yvelines department of north-central France, located on the Seine River to the west of Paris.
  • D. Étrépilly
    Étrépilly is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • E. Pierrefitte-sur-Seine
    Pierrefitte-sur-Seine is a northern suburb of Paris in the Seine-Saint-Denis department of France, notable for hosting the main site of the French National Archives.
  • 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: Frepillon
Triple: [arrondissement of Pontoise, contains, Frepillon]
Generated description
Frepillon is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frepillon
Target entity description: Frepillon is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
  • A. Étrépagny
    Étrépagny is a commune in the Eure department of the Normandy region in northern France.
  • B. Vaucresson
    Vaucresson is a suburban commune in the western outskirts of Paris, France, known for its residential character and green surroundings.
  • C. Le Pecq
    Le Pecq is a suburban commune in the Yvelines department of north-central France, located on the Seine River to the west of Paris.
  • D. Étrépilly
    Étrépilly is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • E. Pierrefitte-sur-Seine
    Pierrefitte-sur-Seine is a northern suburb of Paris in the Seine-Saint-Denis department of France, notable for hosting the main site of the French National Archives.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc60ace048190a4b92310ba272bd1 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe249c57bc819089baed544fb8fead completed May 8, 2026, 5:59 p.m.
NEDg Description generation batch_69fe272e37608190b7a0db34f15f28b3 completed May 8, 2026, 6:10 p.m.
NED2 Entity disambiguation (via description) batch_69fe278a3ff481909d98cd1bce8f867e completed May 8, 2026, 6:12 p.m.
Created at: April 9, 2026, 9:52 p.m.