Triple

T3389387
Position Surface form Disambiguated ID Type / Status
Subject Dieppe E71380 entity
Predicate river P165 FINISHED
Object Arques
Arques is a river in northern France that flows through the Normandy region and reaches the English Channel at the port city of Dieppe.
 E353340 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: Arques | Statement: [Dieppe, river, Arques]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arques
Context triple: [Dieppe, river, Arques]
  • A. Montlhéry
    Montlhéry is a commune in northern France best known for its historic motor racing circuit, the Autodrome de Linas-Montlhéry.
  • B. Deauzya
    Deauzya is the given first name of American professional basketball player DiDi Richards.
  • C. Gressy
    Gressy is a small French commune located in the Île-de-France region, known for its residential character and proximity to Paris and Charles de Gaulle Airport.
  • D. Orgeval
    Orgeval is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
  • E. Thoiry
    Thoiry is a commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • 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: Arques
Triple: [Dieppe, river, Arques]
Generated description
Arques is a river in northern France that flows through the Normandy region and reaches the English Channel at the port city of Dieppe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arques
Target entity description: Arques is a river in northern France that flows through the Normandy region and reaches the English Channel at the port city of Dieppe.
  • A. Montlhéry
    Montlhéry is a commune in northern France best known for its historic motor racing circuit, the Autodrome de Linas-Montlhéry.
  • B. Deauzya
    Deauzya is the given first name of American professional basketball player DiDi Richards.
  • C. Gressy
    Gressy is a small French commune located in the Île-de-France region, known for its residential character and proximity to Paris and Charles de Gaulle Airport.
  • D. Orgeval
    Orgeval is a district in the city of Reims, France, known in part for serving as a terminus of the Reims tramway network.
  • E. Thoiry
    Thoiry is a commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb666e514819090560d43bfaf55b8 completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3345a95ac819098be25233b8e0ed5 completed March 12, 2026, 9:47 p.m.
NEDg Description generation batch_69b33542a1008190a1cc4aec663d97bc completed March 12, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_69b3391c4e24819082e9a0f50c1afab8 completed March 12, 2026, 10:07 p.m.
Created at: March 8, 2026, 3:14 p.m.