Triple

T5828736
Position Surface form Disambiguated ID Type / Status
Subject Paris Métro Line 9 E129292 entity
Predicate station P726 FINISHED
Object Buzenval
Buzenval is a Paris Métro station in the 20th arrondissement, serving Line 9 near the Porte de Montreuil area.
E548771 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: Buzenval | Statement: [Paris Métro Line 9, station, Buzenval]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buzenval
Context triple: [Paris Métro Line 9, station, Buzenval]
  • A. Buthier
    Buthier is a river in Italy’s Aosta Valley that flows through the city of Aosta before joining the Dora Baltea.
  • B. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • C. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • D. Nozay
    Nozay is a small commune in the Essonne department of the Île-de-France region in northern France.
  • E. Bugey
    Bugey is a historical and wine-producing region in eastern France, known for its hilly landscapes and location in the foothills of the Jura Mountains.
  • 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: Buzenval
Triple: [Paris Métro Line 9, station, Buzenval]
Generated description
Buzenval is a Paris Métro station in the 20th arrondissement, serving Line 9 near the Porte de Montreuil area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Buzenval
Target entity description: Buzenval is a Paris Métro station in the 20th arrondissement, serving Line 9 near the Porte de Montreuil area.
  • A. Buthier
    Buthier is a river in Italy’s Aosta Valley that flows through the city of Aosta before joining the Dora Baltea.
  • B. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • C. Ozanne
    Ozanne is a river in France that serves as a right-bank tributary of the Loir.
  • D. Nozay
    Nozay is a small commune in the Essonne department of the Île-de-France region in northern France.
  • E. Bugey
    Bugey is a historical and wine-producing region in eastern France, known for its hilly landscapes and location in the foothills of the Jura Mountains.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03467dfe48190b51757b33681bc20 completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09863be3c8190bba357bf64e22917 completed March 23, 2026, 1:33 a.m.
NEDg Description generation batch_69c098d936d081909d930fc8b6b3fd67 completed March 23, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c09947c5fc8190ba279ed0f991f9a9 completed March 23, 2026, 1:37 a.m.
Created at: March 22, 2026, 3:53 p.m.