Triple

T7859435
Position Surface form Disambiguated ID Type / Status
Subject Eure E182457 entity
Predicate contains P35 FINISHED
Object Pont-Audemer
Pont-Audemer is a historic market town in northern France known for its picturesque canals and half-timbered houses, often called the "Norman Venice."
 E705644 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: Pont-Audemer | Statement: [Eure, contains, Pont-Audemer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pont-Audemer
Context triple: [Eure, contains, Pont-Audemer]
  • A. Pont-Saint-Martin
    Pont-Saint-Martin is a small town in Italy’s Aosta Valley, known as a historic gateway to the region and for its ancient Roman bridge.
  • B. Étrépagny
    Étrépagny is a commune in the Eure department of the Normandy region in northern France.
  • C. Yvetot
    Yvetot is a small town in the Seine-Maritime department of Normandy in northern France, historically known as the seat of a medieval "kingdom" within France.
  • D. Pont-l’Évêque
    Pont-l’Évêque is a small historic town in Normandy, France, best known for giving its name to the traditional soft cow’s milk cheese Pont-l’Évêque.
  • E. Noisy-le-Grand
    Noisy-le-Grand is a suburban commune in the eastern outskirts of Paris, France, known for its modern architecture and role as a business and educational hub within the Marne-la-Vallée area.
  • 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: Pont-Audemer
Triple: [Eure, contains, Pont-Audemer]
Generated description
Pont-Audemer is a historic market town in northern France known for its picturesque canals and half-timbered houses, often called the "Norman Venice."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pont-Audemer
Target entity description: Pont-Audemer is a historic market town in northern France known for its picturesque canals and half-timbered houses, often called the "Norman Venice."
  • A. Pont-Saint-Martin
    Pont-Saint-Martin is a small town in Italy’s Aosta Valley, known as a historic gateway to the region and for its ancient Roman bridge.
  • B. Étrépagny
    Étrépagny is a commune in the Eure department of the Normandy region in northern France.
  • C. Yvetot
    Yvetot is a small town in the Seine-Maritime department of Normandy in northern France, historically known as the seat of a medieval "kingdom" within France.
  • D. Pont-l’Évêque
    Pont-l’Évêque is a small historic town in Normandy, France, best known for giving its name to the traditional soft cow’s milk cheese Pont-l’Évêque.
  • E. Noisy-le-Grand
    Noisy-le-Grand is a suburban commune in the eastern outskirts of Paris, France, known for its modern architecture and role as a business and educational hub within the Marne-la-Vallée area.
  • 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_69ca82887fd48190975896bf38c4596b completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb1a787c8c8190bcd9ed76cc7aa4c5 completed March 31, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf3828fc81908a118420a6b0a736 completed March 31, 2026, 2:50 p.m.
NEDg Description generation batch_69cc46bca04481908852425c214a4e34 completed March 31, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69cc49129e188190aaebd6a1188788d9 completed March 31, 2026, 10:22 p.m.
Created at: March 30, 2026, 4:53 p.m.