Triple

T6948839
Position Surface form Disambiguated ID Type / Status
Subject Canadian Transportation Agency E160868 entity
Predicate abbreviation P43 FINISHED
Object OTC
OTC is the French-language abbreviation for the Canadian Transportation Agency, the federal body that regulates and oversees transportation services in Canada.
 E630327 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: OTC | Statement: [Canadian Transportation Agency, abbreviation, OTC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OTC
Context triple: [Canadian Transportation Agency, abbreviation, OTC]
  • A. OXT
    OXT is the National Rail station code for Oxted railway station in Surrey, England.
  • B. OTU
    OTU is a Canadian public research university located in Oshawa, Ontario, known for its focus on technology, engineering, and innovative, industry-oriented programs.
  • C. Optax
    Optax is a gradient processing and optimization library for JAX, providing a flexible collection of composable optimizers and transformations for training machine learning models.
  • D. Oscetel
    Oscetel is a figure associated with the leadership of the Great Heathen Army, the large Viking coalition that invaded Anglo-Saxon England in the late 9th century.
  • E. Oxy
    Oxy is the commonly used nickname for Occidental College, a private liberal arts college in Los Angeles, California.
  • 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: OTC
Triple: [Canadian Transportation Agency, abbreviation, OTC]
Generated description
OTC is the French-language abbreviation for the Canadian Transportation Agency, the federal body that regulates and oversees transportation services in Canada.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OTC
Target entity description: OTC is the French-language abbreviation for the Canadian Transportation Agency, the federal body that regulates and oversees transportation services in Canada.
  • A. OXT
    OXT is the National Rail station code for Oxted railway station in Surrey, England.
  • B. OTU
    OTU is a Canadian public research university located in Oshawa, Ontario, known for its focus on technology, engineering, and innovative, industry-oriented programs.
  • C. Optax
    Optax is a gradient processing and optimization library for JAX, providing a flexible collection of composable optimizers and transformations for training machine learning models.
  • D. Oscetel
    Oscetel is a figure associated with the leadership of the Great Heathen Army, the large Viking coalition that invaded Anglo-Saxon England in the late 9th century.
  • E. Oxy
    Oxy is the commonly used nickname for Occidental College, a private liberal arts college in Los Angeles, California.
  • 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_69c68850419081909fb426b8f5a304c7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daad028c8190a6db5b2d029d4dfc completed March 27, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75874ffcc81908f31ff03e13cb5b0 completed March 28, 2026, 4:26 a.m.
NEDg Description generation batch_69c758ee37dc8190810e44d11c744ac7 completed March 28, 2026, 4:28 a.m.
NED2 Entity disambiguation (via description) batch_69c759a99b2c8190986ce5bc36502975 completed March 28, 2026, 4:31 a.m.
Created at: March 27, 2026, 2:28 p.m.