Triple

T458476
Position Surface form Disambiguated ID Type / Status
Subject Line 3 Scarborough E7282 entity
Predicate previousDesignation P65 FINISHED
Object 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.
 E57695 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: SRT | Statement: [Line 3 Scarborough, previousDesignation, SRT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SRT
Context triple: [Line 3 Scarborough, previousDesignation, SRT]
  • A. TRT
    TRT is the time zone used in Turkey, corresponding to UTC+3.
  • B. SLT
    SLT is a well-equipped, mid-to-upper trim level commonly associated with GMC trucks and SUVs, offering upgraded comfort, technology, and appearance features.
  • C. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • D. RTG
    RTG (Radioisotope Thermoelectric Generator) is a long-lived power system that converts heat from the natural decay of radioactive material into electricity, commonly used on deep-space missions like Voyager 2.
  • E. RTN
    RTN is the former stock ticker symbol for Raytheon Company, a major U.S. defense and aerospace contractor.
  • 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: SRT
Triple: [Line 3 Scarborough, previousDesignation, SRT]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SRT
Target entity description: 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.
  • A. TRT
    TRT is the time zone used in Turkey, corresponding to UTC+3.
  • B. SLT
    SLT is a well-equipped, mid-to-upper trim level commonly associated with GMC trucks and SUVs, offering upgraded comfort, technology, and appearance features.
  • C. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • D. RTG
    RTG (Radioisotope Thermoelectric Generator) is a long-lived power system that converts heat from the natural decay of radioactive material into electricity, commonly used on deep-space missions like Voyager 2.
  • E. RTN
    RTN is the former stock ticker symbol for Raytheon Company, a major U.S. defense and aerospace contractor.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efa3163081909acff040a22bd559 completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a44f56b3808190b34ddd3e60b84f85 completed March 1, 2026, 2:38 p.m.
NEDg Description generation batch_69a450d6a538819098c31a4f429bb149 completed March 1, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_69a45143456081909aebbed149a5c200 completed March 1, 2026, 2:46 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.