Triple

T9291177
Position Surface form Disambiguated ID Type / Status
Subject Somme (department) E223520 entity
Predicate containsTown P847 FINISHED
Object Le Crotoy
Le Crotoy is a coastal town in northern France known for its seaside resort, fishing heritage, and location on the Bay of the Somme.
E807153 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 Crotoy | Statement: [Somme (department), containsTown, Le Crotoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Le Crotoy
Context triple: [Somme (department), containsTown, Le Crotoy]
  • A. Rouvres
    Rouvres is a small French commune located in the Île-de-France region in north-central France.
  • B. 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."
  • C. Mouvaux
    Mouvaux is a suburban commune in northern France that forms part of the Lille metropolitan area.
  • D. Étrépagny
    Étrépagny is a commune in the Eure department of the Normandy region in northern France.
  • E. Breteuil
    Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural 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: Le Crotoy
Triple: [Somme (department), containsTown, Le Crotoy]
Generated description
Le Crotoy is a coastal town in northern France known for its seaside resort, fishing heritage, and location on the Bay of the Somme.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Le Crotoy
Target entity description: Le Crotoy is a coastal town in northern France known for its seaside resort, fishing heritage, and location on the Bay of the Somme.
  • A. Rouvres
    Rouvres is a small French commune located in the Île-de-France region in north-central France.
  • B. 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."
  • C. Mouvaux
    Mouvaux is a suburban commune in northern France that forms part of the Lille metropolitan area.
  • D. Étrépagny
    Étrépagny is a commune in the Eure department of the Normandy region in northern France.
  • E. Breteuil
    Breteuil is a commune in northern France that serves as a local administrative and service hub for its surrounding rural 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd0865a7108190b807afd259980db2 completed April 1, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1525bd4e88190a62e5e383d1e786b completed April 4, 2026, 6:03 p.m.
NEDg Description generation batch_69d155cf87c0819086b6a618e2102cdf completed April 4, 2026, 6:17 p.m.
NED2 Entity disambiguation (via description) batch_69d155f5e2008190b881e1d6a807ca81 completed April 4, 2026, 6:18 p.m.
Created at: March 30, 2026, 7:35 p.m.