Triple

T1781385
Position Surface form Disambiguated ID Type / Status
Subject Paris Métro Line 4 E39297 entity
Predicate hasStation P35 FINISHED
Object Cité
Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
E207642 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: Cité | Statement: [Paris Métro Line 4, hasStation, Cité]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cité
Context triple: [Paris Métro Line 4, hasStation, Cité]
  • A. The Ville
    The Ville is a colloquial nickname commonly used to refer to the city of Maryville, Missouri.
  • B. The Ville
    The Ville is a colloquial nickname for the city of Somerville, Massachusetts, used especially by locals and in regional culture.
  • C. The Ville
    The Ville is the dedicated student cheering section for the University of Louisville Cardinals women’s basketball team.
  • D. Ville
    Ville is a common Finnish male given name, especially prevalent in the late 20th century.
  • E. La Ville Rose
    La Ville Rose is the affectionate nickname for the French city of Toulouse, referencing its distinctive pink-hued brick architecture.
  • 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: Cité
Triple: [Paris Métro Line 4, hasStation, Cité]
Generated description
Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cité
Target entity description: Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
  • A. The Ville
    The Ville is a colloquial nickname commonly used to refer to the city of Maryville, Missouri.
  • B. The Ville
    The Ville is a colloquial nickname for the city of Somerville, Massachusetts, used especially by locals and in regional culture.
  • C. The Ville
    The Ville is the dedicated student cheering section for the University of Louisville Cardinals women’s basketball team.
  • D. Ville
    Ville is a common Finnish male given name, especially prevalent in the late 20th century.
  • E. La Ville Rose
    La Ville Rose is the affectionate nickname for the French city of Toulouse, referencing its distinctive pink-hued brick architecture.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64e22d6881909ba6ec120b320918 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1b8e26c8190af6e45265e2b182f completed March 8, 2026, 7:44 p.m.
NEDg Description generation batch_69add29b34048190bee7908ac6c650e4 completed March 8, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69add35731588190a13c969490ca2c09 completed March 8, 2026, 7:51 p.m.
Created at: March 4, 2026, 7:31 p.m.