Triple

T15308589
Position Surface form Disambiguated ID Type / Status
Subject Le Havre urban area E365969 entity
Predicate hasPart P35 FINISHED
Object Rogerville
Rogerville is a small French commune in the Normandy region, situated near the port city of Le Havre.
E1149575 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: Rogerville | Statement: [Le Havre urban area, hasPart, Rogerville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rogerville
Context triple: [Le Havre urban area, hasPart, Rogerville]
  • A. Rosettenville
    Rosettenville is a residential suburb in the south of Johannesburg, South Africa, known for its diverse community and historical religious and educational institutions.
  • B. Loretteville
    Loretteville is a residential district within Quebec City, Canada, known for its suburban character and local services.
  • C. Rosherville
    Rosherville is a residential area and former pleasure resort within the town of Northfleet in Kent, England.
  • D. Ramsayville
    Ramsayville is the former name of the town now known as Almonte in Ontario, Canada.
  • E. Lorneville
    Lorneville is a small community in Nova Scotia, Canada, located along the province’s northern shore near the New Brunswick border.
  • 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: Rogerville
Triple: [Le Havre urban area, hasPart, Rogerville]
Generated description
Rogerville is a small French commune in the Normandy region, situated near the port city of Le Havre.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rogerville
Target entity description: Rogerville is a small French commune in the Normandy region, situated near the port city of Le Havre.
  • A. Rosettenville
    Rosettenville is a residential suburb in the south of Johannesburg, South Africa, known for its diverse community and historical religious and educational institutions.
  • B. Loretteville
    Loretteville is a residential district within Quebec City, Canada, known for its suburban character and local services.
  • C. Rosherville
    Rosherville is a residential area and former pleasure resort within the town of Northfleet in Kent, England.
  • D. Ramsayville
    Ramsayville is the former name of the town now known as Almonte in Ontario, Canada.
  • E. Lorneville
    Lorneville is a small community in Nova Scotia, Canada, located along the province’s northern shore near the New Brunswick border.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd001b48190bbdd69337efdb907 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef89feda88190b18f6a03d6e968aa completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fefa13e8508190930a22439b7f154a completed May 9, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69fefa80be14819089e87e7bdb3af7ec completed May 9, 2026, 9:12 a.m.
Created at: April 10, 2026, 3:16 a.m.