Triple

T3674953
Position Surface form Disambiguated ID Type / Status
Subject Transport Canada E77967 entity
Predicate abbreviation P43 FINISHED
Object TC
TC is the commonly used abbreviation for Transport Canada, the federal department responsible for transportation policies and programs in Canada.
 E378501 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: TC | Statement: [Transport Canada, abbreviation, TC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TC
Context triple: [Transport Canada, abbreviation, TC]
  • A. TC
    TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
  • B. TC
    TC is the common abbreviation for the Trilateral Commission, a non-governmental policy discussion group that brings together leaders from North America, Europe, and Asia to address global issues.
  • C. TC
    TC is the two-letter ISO 3166-1 alpha-2 country code assigned to the Turks and Caicos Islands.
  • D. TC
    TC is the Constitutional Court of Peru, the country’s highest body responsible for interpreting and safeguarding the constitution and constitutional rights.
  • E. TA
    TA is the standard abbreviation for *Transforming Anthropology*, a peer-reviewed academic journal focusing on critical and innovative scholarship in anthropology.
  • 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: TC
Triple: [Transport Canada, abbreviation, TC]
Generated description
TC is the commonly used abbreviation for Transport Canada, the federal department responsible for transportation policies and programs in Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TC
Target entity description: TC is the commonly used abbreviation for Transport Canada, the federal department responsible for transportation policies and programs in Canada.
  • A. TC
    TC is the standard abbreviation for the IEEE Transactions on Computers, a leading peer-reviewed journal covering research in computer science and engineering.
  • B. TC
    TC is the common abbreviation for the Trilateral Commission, a non-governmental policy discussion group that brings together leaders from North America, Europe, and Asia to address global issues.
  • C. TC
    TC is the two-letter ISO 3166-1 alpha-2 country code assigned to the Turks and Caicos Islands.
  • D. TC
    TC is the Constitutional Court of Peru, the country’s highest body responsible for interpreting and safeguarding the constitution and constitutional rights.
  • E. TA
    TA is the standard abbreviation for *Transforming Anthropology*, a peer-reviewed academic journal focusing on critical and innovative scholarship in anthropology.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4619cf08190a09a4a820c59cbc4 completed March 8, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b48856b7d481909d9cc32586d61d44 completed March 13, 2026, 9:57 p.m.
NEDg Description generation batch_69b489b0de348190a339affb0d59e4b3 completed March 13, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_69b4bc976fc881909a067b73002c5305 completed March 14, 2026, 1:40 a.m.
Created at: March 8, 2026, 3:25 p.m.