Triple

T10311228
Position Surface form Disambiguated ID Type / Status
Subject Transilien Line R E241893 entity
Predicate symbol P129 FINISHED
Object R
R is a letter of the modern Latin alphabet commonly used in numerous languages and writing systems worldwide.
 E855702 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: R | Statement: [Transilien Line R, symbol, R]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: R
Context triple: [Transilien Line R, symbol, R]
  • A. R
    R is a New York City Subway service that runs along the Broadway Line in Manhattan and Queens, providing local transit through key commercial and residential areas.
  • B. R
    R is a widely used open-source programming language and environment focused on statistical computing, data analysis, and graphical visualization.
  • C. R
    R is a post-nominal letter used to denote a specific rank or class within the Danish Order of the Dannebrog.
  • D. Re
    Re is the ancient Egyptian sun god, a major deity associated with creation, kingship, and the daily journey of the sun across the sky.
  • E. RA
    RA is the commonly used abbreviation for Rugby Australia, the governing body for rugby union in Australia.
  • 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: R
Triple: [Transilien Line R, symbol, R]
Generated description
R is a letter of the modern Latin alphabet commonly used in numerous languages and writing systems worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: R
Target entity description: R is a letter of the modern Latin alphabet commonly used in numerous languages and writing systems worldwide.
  • A. R
    R is a New York City Subway service that runs along the Broadway Line in Manhattan and Queens, providing local transit through key commercial and residential areas.
  • B. R
    R is a widely used open-source programming language and environment focused on statistical computing, data analysis, and graphical visualization.
  • C. R
    R is a post-nominal letter used to denote a specific rank or class within the Danish Order of the Dannebrog.
  • D. Re
    Re is the ancient Egyptian sun god, a major deity associated with creation, kingship, and the daily journey of the sun across the sky.
  • E. RA
    RA is a prestigious post-nominal title indicating membership as a Royal Academician of the Royal Academy of Arts in London.
  • 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_69d381ac38808190a8ca7457c85b625b completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d32ac6c08190b23eb042b3ec284a completed April 7, 2026, 9:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d78ece88190885768c979b038df completed April 9, 2026, 3:31 a.m.
NEDg Description generation batch_69d73186831481909555e2205d8783a7 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d732bfc76c819089287477b54a7b77 completed April 9, 2026, 5:01 a.m.
Created at: April 6, 2026, 11:47 a.m.