Triple

T3504144
Position Surface form Disambiguated ID Type / Status
Subject Somme E74035 entity
Predicate containsCity P294 FINISHED
Object Abbeville
Abbeville is a historic town in northern France known for its medieval architecture and role as a gateway to the Bay of Somme.
 E363952 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: Abbeville | Statement: [Somme, containsCity, Abbeville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abbeville
Context triple: [Somme, containsCity, Abbeville]
  • A. Francisville
    Francisville is the historical name by which the French port city of Le Havre was originally known.
  • B. Beaufort
    Beaufort is a small town and administrative district in the southwestern part of Sabah, Malaysia, known for its railway connection and proximity to wetlands and riverine landscapes.
  • C. Beaufort
    Beaufort is a firm, raw cow’s milk Alpine cheese from France renowned for its smooth texture and complex, nutty flavor.
  • D. Chaumont
    Chaumont is a commune in northeastern France known as a local administrative and educational center, including hosting a campus of the University of Reims Champagne-Ardenne.
  • E. Pineville
    Pineville is a small town in southern West Virginia that serves as the administrative and commercial center of Wyoming County.
  • 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: Abbeville
Triple: [Somme, containsCity, Abbeville]
Generated description
Abbeville is a historic town in northern France known for its medieval architecture and role as a gateway to the Bay of Somme.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abbeville
Target entity description: Abbeville is a historic town in northern France known for its medieval architecture and role as a gateway to the Bay of Somme.
  • A. Francisville
    Francisville is the historical name by which the French port city of Le Havre was originally known.
  • B. Beaufort
    Beaufort is a small town and administrative district in the southwestern part of Sabah, Malaysia, known for its railway connection and proximity to wetlands and riverine landscapes.
  • C. Beaufort
    Beaufort is a firm, raw cow’s milk Alpine cheese from France renowned for its smooth texture and complex, nutty flavor.
  • D. Chaumont
    Chaumont is a commune in northeastern France known as a local administrative and educational center, including hosting a campus of the University of Reims Champagne-Ardenne.
  • E. Pineville
    Pineville is a small town in southern West Virginia that serves as the administrative and commercial center of Wyoming County.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf22b1c8190956141d8fb924210 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373de0a34819096701e24409a08bb completed March 13, 2026, 2:18 a.m.
NEDg Description generation batch_69b377dfd2308190b2762715fa098260 completed March 13, 2026, 2:35 a.m.
NED2 Entity disambiguation (via description) batch_69b37850f18081908ee893dd4cedc183 completed March 13, 2026, 2:37 a.m.
Created at: March 8, 2026, 3:18 p.m.