Triple

T6724131
Position Surface form Disambiguated ID Type / Status
Subject RER line E E153469 entity
Predicate hasStation P35 FINISHED
Object Magenta
Magenta is a railway station in Milan, Italy, served by the RER Line E suburban rail network.
 E613620 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: Magenta | Statement: [RER line E, hasStation, Magenta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Magenta
Context triple: [RER line E, hasStation, Magenta]
  • A. Carmine
    Carmine is a given name, often used in Italian and English-speaking contexts, that is related to the name Carmelo.
  • B. Maroon
    Maroon refers to the descendants of escaped African slaves in the Americas who formed independent communities, notably in places like Suriname and Jamaica, preserving distinct African-derived cultures and traditions.
  • C. Rosamorada
    Rosamorada is a municipality and town in the Mexican state of Nayarit, known for its agricultural activities and rural communities.
  • D. Borouge
    Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
  • E. Rosse
    Rosse is an alternative spelling or variant form of the name Ross, which is used as both a given name and a surname.
  • 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: Magenta
Triple: [RER line E, hasStation, Magenta]
Generated description
Magenta is a railway station in Milan, Italy, served by the RER Line E suburban rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Magenta
Target entity description: Magenta is a railway station in Milan, Italy, served by the RER Line E suburban rail network.
  • A. Carmine
    Carmine is a given name, often used in Italian and English-speaking contexts, that is related to the name Carmelo.
  • B. Maroon
    Maroon refers to the descendants of escaped African slaves in the Americas who formed independent communities, notably in places like Suriname and Jamaica, preserving distinct African-derived cultures and traditions.
  • C. Rosamorada
    Rosamorada is a municipality and town in the Mexican state of Nayarit, known for its agricultural activities and rural communities.
  • D. Borouge
    Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
  • E. Rosse
    Rosse is an alternative spelling or variant form of the name Ross, which is used as both a given name and a surname.
  • 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_69c6880afb988190ad88011b48ecfcba completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d13b296c8190bf54009063032c6d completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c700a34e248190ba9d73437b19a96d completed March 27, 2026, 10:11 p.m.
NEDg Description generation batch_69c703ad7e0c81908da32c96806f3b07 completed March 27, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69c7042f23408190b06faafcb3251276 completed March 27, 2026, 10:26 p.m.
Created at: March 27, 2026, 2:08 p.m.