Triple

T16822403
Position Surface form Disambiguated ID Type / Status
Subject Toulon Provence Méditerranée E408925 entity
Predicate hasMemberMunicipality P47323 FINISHED
Object La Farlède
La Farlède is a small commune in the Var department of southeastern France, situated near Toulon on the Mediterranean coast.
E1235349 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 Farlède | Statement: [Toulon Provence Méditerranée, hasMemberMunicipality, La Farlède]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Farlède
Context triple: [Toulon Provence Méditerranée, hasMemberMunicipality, La Farlède]
  • A. Chevaleret
    Chevaleret is a Paris Métro station in the 13th arrondissement, located on the elevated section of Line 6 near the Seine.
  • B. Joncreuil
    Joncreuil is a small French commune located in the Aube department in the Grand Est region of northeastern France.
  • C. House of Taillefer
    The House of Taillefer was a medieval noble dynasty that ruled the County of Angoulême in southwestern France for several centuries.
  • D. Montjoie
    Montjoie is a historic town in western Germany, now known as Monschau, noted for its well-preserved medieval architecture in the Eifel region.
  • E. Les Ferres
    Les Ferres is a small rural commune in the Alpes-Maritimes department of southeastern France, situated in the Provence-Alpes-Côte d’Azur region.
  • 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 Farlède
Triple: [Toulon Provence Méditerranée, hasMemberMunicipality, La Farlède]
Generated description
La Farlède is a small commune in the Var department of southeastern France, situated near Toulon on the Mediterranean coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: La Farlède
Target entity description: La Farlède is a small commune in the Var department of southeastern France, situated near Toulon on the Mediterranean coast.
  • A. Chevaleret
    Chevaleret is a Paris Métro station in the 13th arrondissement, located on the elevated section of Line 6 near the Seine.
  • B. Joncreuil
    Joncreuil is a small French commune located in the Aube department in the Grand Est region of northeastern France.
  • C. House of Taillefer
    The House of Taillefer was a medieval noble dynasty that ruled the County of Angoulême in southwestern France for several centuries.
  • D. Montjoie
    Montjoie is a historic town in western Germany, now known as Monschau, noted for its well-preserved medieval architecture in the Eifel region.
  • E. Les Ferres
    Les Ferres is a small rural commune in the Alpes-Maritimes department of southeastern France, situated in the Provence-Alpes-Côte d’Azur region.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e77ab88190be1ec8179251864e completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b29a3854819099eed580eea5d84d completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b32d2a588190b59bad56f8817bce completed May 10, 2026, 4:32 p.m.
NED2 Entity disambiguation (via description) batch_6a00b3d14b3c819081f435777f47eca3 completed May 10, 2026, 4:35 p.m.
Created at: April 10, 2026, 5:23 a.m.