Triple

T1869276
Position Surface form Disambiguated ID Type / Status
Subject Rosetta Terminology Mapping E38996 entity
Predicate hasAbbreviation P43 FINISHED
Object RTM
RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
 E208056 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: RTM | Statement: [Rosetta Terminology Mapping, hasAbbreviation, RTM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RTM
Context triple: [Rosetta Terminology Mapping, hasAbbreviation, RTM]
  • A. SRT
    SRT was the former name of Toronto’s Line 3 Scarborough, an elevated light rapid transit line that operated in the city’s eastern suburbs.
  • B. RTA
    RTA is the common abbreviation for the Regional Transportation Authority of Northeastern Illinois, the agency that oversees public transit services in the Chicago metropolitan area.
  • C. RTN
    RTN is the former stock ticker symbol for Raytheon Company, a major U.S. defense and aerospace contractor.
  • D. RMF
    RMF (Resource Measurement Facility) is an IBM performance monitoring and reporting tool used to analyze and manage system resources on z/OS mainframe environments.
  • E. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • 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: RTM
Triple: [Rosetta Terminology Mapping, hasAbbreviation, RTM]
Generated description
RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RTM
Target entity description: RTM is the commonly used abbreviation for Rosetta Terminology Mapping, a system for standardizing and aligning terminology across different datasets or domains.
  • A. SRT
    SRT was the former name of Toronto’s Line 3 Scarborough, an elevated light rapid transit line that operated in the city’s eastern suburbs.
  • B. RTA
    RTA is the common abbreviation for the Regional Transportation Authority of Northeastern Illinois, the agency that oversees public transit services in the Chicago metropolitan area.
  • C. RTN
    RTN is the former stock ticker symbol for Raytheon Company, a major U.S. defense and aerospace contractor.
  • D. RMF
    RMF (Resource Measurement Facility) is an IBM performance monitoring and reporting tool used to analyze and manage system resources on z/OS mainframe environments.
  • E. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0b7e4548190a3761133fbbb7b81 completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1dab2a481909adb0a3132348cee completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add25c9c208190a576cf1123c0a2e6 completed March 8, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69add32c32b08190be6624eefa2fa386 completed March 8, 2026, 7:51 p.m.
Created at: March 4, 2026, 7:34 p.m.