Triple

T7727915
Position Surface form Disambiguated ID Type / Status
Subject Occitania E175178 entity
Predicate majorCity P316 FINISHED
Object Toulon
Toulon is a major port city on France’s Mediterranean coast, known for its naval base, shipbuilding industry, and role as a gateway to the French Riviera.
 E83956 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: Toulon | Statement: [Occitania, majorCity, Toulon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toulon
Context triple: [Occitania, majorCity, Toulon]
  • A. Toulon
    Toulon is a major port city on France’s Mediterranean coast that serves as the principal base of the French Navy.
  • B. La Rochelle
    La Rochelle is a historic French Atlantic port city that became a major stronghold and refuge for Huguenots during the French Wars of Religion.
  • C. Toulouse
    Toulouse is a major city in southwestern France known for its aerospace industry, historic pink-brick architecture, and vibrant university and cultural life.
  • D. 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.
  • E. Nantes
    Nantes is a historic port city in western France on the Loire River, known for its maritime heritage, cultural institutions, and vibrant arts scene.
  • 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: Toulon
Triple: [Occitania, majorCity, Toulon]
Generated description
Toulon is a major port city on France’s Mediterranean coast, known for its naval base, shipbuilding industry, and role as a gateway to the French Riviera.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toulon
Target entity description: Toulon is a major port city on France’s Mediterranean coast, known for its naval base, shipbuilding industry, and role as a gateway to the French Riviera.
  • A. Toulon chosen
    Toulon is a major port city on France’s Mediterranean coast that serves as the principal base of the French Navy.
  • B. La Rochelle
    La Rochelle is a historic French Atlantic port city that became a major stronghold and refuge for Huguenots during the French Wars of Religion.
  • C. Toulouse
    Toulouse is a major city in southwestern France known for its aerospace industry, historic pink-brick architecture, and vibrant university and cultural life.
  • D. 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.
  • E. Nantes
    Nantes is a historic port city in western France on the Loire River, known for its maritime heritage, cultural institutions, and vibrant arts scene.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70315e8e88190a5c7e5d2f2ef66bc completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c998ad1ee08190bbde7900f1bb34bf completed March 29, 2026, 9:25 p.m.
NEDg Description generation batch_69c99a35420481909fe126b951709941 completed March 29, 2026, 9:31 p.m.
NED2 Entity disambiguation (via description) batch_69c99a8c26b08190bfcc594ff61edfff completed March 29, 2026, 9:33 p.m.
Created at: March 27, 2026, 4:06 p.m.