Triple

T19052934
Position Surface form Disambiguated ID Type / Status
Subject Batignolles E466310 entity
Predicate transportServedBy P1298 FINISHED
Object Pont Cardinet station
Pont Cardinet station is a railway station in Paris that serves the Batignolles area and connects it to the wider Île-de-France rail network.
 E1356727 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: Pont Cardinet station | Statement: [Batignolles, transportServedBy, Pont Cardinet station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pont Cardinet station
Context triple: [Batignolles, transportServedBy, Pont Cardinet station]
  • A. Richard-Lenoir station
    Richard-Lenoir station is a Paris Métro station on Line 5 located in the 11th arrondissement of Paris, France.
  • B. Raspail station
    Raspail station is a Paris Métro station serving lines 4 and 6, located in the city's 14th arrondissement.
  • C. Vaucelles station
    Vaucelles station is a railway station serving the commune of Taverny in the northern suburbs of Paris, France.
  • D. Falguière station
    Falguière station is a Paris Métro station in the Montparnasse area, serving Line 12 in the 15th arrondissement of Paris.
  • E. Pétillon station
    Pétillon station is a Brussels Metro stop located in the eastern part of the city, serving local commuters on the network’s Line 5.
  • 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: Pont Cardinet station
Triple: [Batignolles, transportServedBy, Pont Cardinet station]
Generated description
Pont Cardinet station is a railway station in Paris that serves the Batignolles area and connects it to the wider Île-de-France rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pont Cardinet station
Target entity description: Pont Cardinet station is a railway station in Paris that serves the Batignolles area and connects it to the wider Île-de-France rail network.
  • A. Richard-Lenoir station
    Richard-Lenoir station is a Paris Métro station on Line 5 located in the 11th arrondissement of Paris, France.
  • B. Raspail station
    Raspail station is a Paris Métro station serving lines 4 and 6, located in the city's 14th arrondissement.
  • C. Vaucelles station
    Vaucelles station is a railway station serving the commune of Taverny in the northern suburbs of Paris, France.
  • D. Falguière station
    Falguière station is a Paris Métro station in the Montparnasse area, serving Line 12 in the 15th arrondissement of Paris.
  • E. Pétillon station
    Pétillon station is a Brussels Metro stop located in the eastern part of the city, serving local commuters on the network’s Line 5.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5dc03dfa08190924a1b8073364fa1 completed April 20, 2026, 7:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05d3544f948190bd6dd96af6045606 completed May 14, 2026, 1:51 p.m.
NEDg Description generation batch_6a05d4abc6c48190953b468326c43efc completed May 14, 2026, 1:56 p.m.
NED2 Entity disambiguation (via description) batch_6a05d565fc6c8190b9f2ff28657a857f completed May 14, 2026, 2 p.m.
Created at: April 10, 2026, 12:03 p.m.