Triple

T15180945
Position Surface form Disambiguated ID Type / Status
Subject Lantosque E362740 entity
Predicate regionSeat P29359 FINISHED
Object Marseille
Marseille is a major port city in southern France and the capital of the Provence-Alpes-Côte d'Azur region, known for its historic Old Port, diverse culture, and Mediterranean coastline.
 E15143 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: Marseille | Statement: [Lantosque, regionSeat, Marseille]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marseille
Context triple: [Lantosque, regionSeat, Marseille]
  • A. Marseille
    Marseille is a historic Mediterranean port city in southern France known for its diverse culture, maritime heritage, and role as a major economic hub.
  • B. Marseillan
    Marseillan is a coastal commune in southern France known for its historic port, oyster farming, and proximity to the Étang de Thau lagoon.
  • C. Lyon
    Lyon is a historic Scottish noble family name most prominently associated with the Earls of Strathmore and Kinghorne.
  • D. Lyon
    Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
  • E. Toulon
    Toulon is a major port city on France’s Mediterranean coast that serves as the principal base of the French Navy.
  • 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: Marseille
Triple: [Lantosque, regionSeat, Marseille]
Generated description
Marseille is a major port city in southern France and the capital of the Provence-Alpes-Côte d'Azur region, known for its historic Old Port, diverse culture, and Mediterranean coastline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marseille
Target entity description: Marseille is a major port city in southern France and the capital of the Provence-Alpes-Côte d'Azur region, known for its historic Old Port, diverse culture, and Mediterranean coastline.
  • A. Marseille chosen
    Marseille is a historic Mediterranean port city in southern France known for its diverse culture, maritime heritage, and role as a major economic hub.
  • B. Marseillan
    Marseillan is a coastal commune in southern France known for its historic port, oyster farming, and proximity to the Étang de Thau lagoon.
  • C. Lyon
    Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
  • D. Lyon
    Lyon is a historic Scottish noble family name most prominently associated with the Earls of Strathmore and Kinghorne.
  • E. Toulon
    Toulon is a major port city on France’s Mediterranean coast that serves as the principal base of the French Navy.
  • F. None of above.

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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00664caac81909bee1268264769f8 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2268dc8190882e5a489e0c49c2 completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedea1fea88190b891485794acfa8d completed May 9, 2026, 7:13 a.m.
NED2 Entity disambiguation (via description) batch_69fedf2b52348190bd8fc6999cb0abd7 completed May 9, 2026, 7:15 a.m.
Created at: April 10, 2026, 3:09 a.m.