Triple

T6811052
Position Surface form Disambiguated ID Type / Status
Subject Lúcio Costa E156633 entity
Predicate placeOfBirth P1 FINISHED
Object Toulon
Toulon is a major port city on the Mediterranean coast of southern France, known for its naval base and maritime heritage.
 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: [Lúcio Costa, placeOfBirth, Toulon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toulon
Context triple: [Lúcio Costa, placeOfBirth, 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: [Lúcio Costa, placeOfBirth, Toulon]
Generated description
Toulon is a major port city on the Mediterranean coast of southern France, known for its naval base and maritime heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toulon
Target entity description: Toulon is a major port city on the Mediterranean coast of southern France, known for its naval base and maritime heritage.
  • 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_69c68828b26c819090fe9df7612bbc27 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d30ded6481908fd64611607c610e completed March 27, 2026, 6:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c769e8e06881908763bba8f7b82a99 completed March 28, 2026, 5:40 a.m.
NEDg Description generation batch_69c76a67bb048190b9bff17d4da4d842 completed March 28, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69c76ac6d8b48190869e1733adcbd3d9 completed March 28, 2026, 5:44 a.m.
Created at: March 27, 2026, 2:16 p.m.