Triple

T4085101
Position Surface form Disambiguated ID Type / Status
Subject R68 subway car E87570 entity
Predicate manufacturer P490 FINISHED
Object Jeumont-Schneider
Jeumont-Schneider was a French industrial and engineering company known for producing electrical equipment and rolling stock, including subway cars.
 E410190 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: Jeumont-Schneider | Statement: [R68 subway car, manufacturer, Jeumont-Schneider]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeumont-Schneider
Context triple: [R68 subway car, manufacturer, Jeumont-Schneider]
  • A. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • B. Vétraz-Monthoux
    Vétraz-Monthoux is a commune in the Haute-Savoie department of southeastern France, situated near the Swiss border in the urban area of Annemasse.
  • C. Marignier
    Marignier is a commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
  • D. Oberkampf
    Oberkampf is a Paris Métro station in the 11th arrondissement, serving as an interchange between lines 5 and 9 near the lively Oberkampf district.
  • E. Peillon
    Peillon is a picturesque medieval hilltop village in southeastern France, known for its narrow streets, stone houses, and views over the surrounding Alpes-Maritimes countryside.
  • 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: Jeumont-Schneider
Triple: [R68 subway car, manufacturer, Jeumont-Schneider]
Generated description
Jeumont-Schneider was a French industrial and engineering company known for producing electrical equipment and rolling stock, including subway cars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeumont-Schneider
Target entity description: Jeumont-Schneider was a French industrial and engineering company known for producing electrical equipment and rolling stock, including subway cars.
  • A. Breuillet
    Breuillet is a commune in the Essonne department in the Île-de-France region of northern France.
  • B. Vétraz-Monthoux
    Vétraz-Monthoux is a commune in the Haute-Savoie department of southeastern France, situated near the Swiss border in the urban area of Annemasse.
  • C. Marignier
    Marignier is a commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
  • D. Oberkampf
    Oberkampf is a Paris Métro station in the 11th arrondissement, serving as an interchange between lines 5 and 9 near the lively Oberkampf district.
  • E. Peillon
    Peillon is a picturesque medieval hilltop village in southeastern France, known for its narrow streets, stone houses, and views over the surrounding Alpes-Maritimes countryside.
  • 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc7b7cc4819089cfbf2b1c23ccc5 completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562c9760c8190a9292eb1cea55ab2 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b563b6b9a48190a7b271fd6873e59f completed March 14, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69b5641e09d08190bf83c9a730e1bf34 completed March 14, 2026, 1:35 p.m.
Created at: March 9, 2026, 3:39 p.m.