Triple

T18686504
Position Surface form Disambiguated ID Type / Status
Subject La Seyne-sur-Mer E456879 entity
Predicate formerName P65 FINISHED
Object La Seyne
La Seyne is the former name of La Seyne-sur-Mer, a coastal town in southeastern France known for its shipbuilding heritage and Mediterranean setting.
E1337110 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: La Seyne | Statement: [La Seyne-sur-Mer, formerName, La Seyne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Seyne
Context triple: [La Seyne-sur-Mer, formerName, La Seyne]
  • A. Golfe-Juan
    Golfe-Juan is a seaside district on the French Riviera, known for its beaches and marina on the Mediterranean coast.
  • B. Mourèze
    Mourèze is a small village in southern France known for its dramatic surrounding limestone rock formations and scenic natural amphitheater.
  • C. Rade de Villefranche
    Rade de Villefranche is a deep, naturally sheltered Mediterranean bay on the French Riviera, renowned for its scenic beauty and maritime significance near Nice.
  • D. Vidourle
    Vidourle is a river in southern France that flows through the Gard department before emptying into the Mediterranean Sea.
  • E. Vallée du Haut Var
    Vallée du Haut Var is a mountainous valley in southeastern France known for its dramatic gorges, alpine landscapes, and picturesque villages along the upper Var River.
  • 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: La Seyne
Triple: [La Seyne-sur-Mer, formerName, La Seyne]
Generated description
La Seyne is the former name of La Seyne-sur-Mer, a coastal town in southeastern France known for its shipbuilding heritage and Mediterranean setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: La Seyne
Target entity description: La Seyne is the former name of La Seyne-sur-Mer, a coastal town in southeastern France known for its shipbuilding heritage and Mediterranean setting.
  • A. Golfe-Juan
    Golfe-Juan is a seaside district on the French Riviera, known for its beaches and marina on the Mediterranean coast.
  • B. Mourèze
    Mourèze is a small village in southern France known for its dramatic surrounding limestone rock formations and scenic natural amphitheater.
  • C. Rade de Villefranche
    Rade de Villefranche is a deep, naturally sheltered Mediterranean bay on the French Riviera, renowned for its scenic beauty and maritime significance near Nice.
  • D. Vidourle
    Vidourle is a river in southern France that flows through the Gard department before emptying into the Mediterranean Sea.
  • E. Vallée du Haut Var
    Vallée du Haut Var is a mountainous valley in southeastern France known for its dramatic gorges, alpine landscapes, and picturesque villages along the upper Var River.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55b2d9a24819098c8e963ee430437 completed April 19, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05235a0d488190a3a5d01822f45e08 completed May 14, 2026, 1:20 a.m.
NEDg Description generation batch_6a05248c12d88190abb947a37b7d180c completed May 14, 2026, 1:25 a.m.
NED2 Entity disambiguation (via description) batch_6a052523e1588190a365dc093d8352a1 completed May 14, 2026, 1:28 a.m.
Created at: April 10, 2026, 11:49 a.m.