Triple

T9832865
Position Surface form Disambiguated ID Type / Status
Subject Toronto gauge E239029 entity
Predicate alsoKnownAs P39 FINISHED
Object TTC gauge
TTC gauge is the unique, slightly wider-than-standard track gauge used by Toronto’s streetcar and subway systems.
E824391 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: TTC gauge | Statement: [Toronto gauge, alsoKnownAs, TTC gauge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TTC gauge
Context triple: [Toronto gauge, alsoKnownAs, TTC gauge]
  • A. TTC
    TTC is an organizational partner of the 3rd Generation Partnership Project (3GPP), contributing to the development and standardization of mobile telecommunications technologies.
  • B. TTC
    The TTC is a high-level transatlantic forum where the European Union and the United States coordinate on trade, economic, and technology policy issues.
  • C. TTC
    TTC is the station code for The Trafford Centre tram stop on Greater Manchester's Metrolink light rail network.
  • D. TTE
    TTE is the stock ticker symbol for TotalEnergies SE, a major French multinational energy company involved in oil, gas, and renewable energy.
  • E. GTS
    GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
  • 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: TTC gauge
Triple: [Toronto gauge, alsoKnownAs, TTC gauge]
Generated description
TTC gauge is the unique, slightly wider-than-standard track gauge used by Toronto’s streetcar and subway systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: TTC gauge
Target entity description: TTC gauge is the unique, slightly wider-than-standard track gauge used by Toronto’s streetcar and subway systems.
  • A. TTC
    TTC is an organizational partner of the 3rd Generation Partnership Project (3GPP), contributing to the development and standardization of mobile telecommunications technologies.
  • B. TTC
    The TTC is a high-level transatlantic forum where the European Union and the United States coordinate on trade, economic, and technology policy issues.
  • C. TTC
    TTC is the station code for The Trafford Centre tram stop on Greater Manchester's Metrolink light rail network.
  • D. TTE
    TTE is the stock ticker symbol for TotalEnergies SE, a major French multinational energy company involved in oil, gas, and renewable energy.
  • E. GTS
    GTS is a high-performance, sport-oriented variant of the Holden Monaro produced by Holden’s performance division.
  • 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_69ca84e314108190978324a4bdb959f8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb336bfc4819084f0d4d6d1867484 completed April 2, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5c448388190818e4cc5e3a42dfc completed April 5, 2026, 3:23 a.m.
NEDg Description generation batch_69d1d6affc3c8190839a4db8f4271309 completed April 5, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69d1d772de00819089eed8be9f5ce3ce completed April 5, 2026, 3:30 a.m.
Created at: March 30, 2026, 8:32 p.m.