Triple

T17175262
Position Surface form Disambiguated ID Type / Status
Subject Calgary Transit E416842 entity
Predicate hasAbbreviation P43 FINISHED
Object CT
CT is the commonly used abbreviation for Calgary Transit, the public transportation agency serving the city of Calgary, Alberta.
 E1254538 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: CT | Statement: [Calgary Transit, hasAbbreviation, CT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CT
Context triple: [Calgary Transit, hasAbbreviation, CT]
  • A. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • B. CT
    CT is the commonly used abbreviation for the Coral Triangle, a marine region in the western Pacific renowned as the global center of marine biodiversity.
  • C. CT
    CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
  • D. CT
    CT is the vehicle registration code used on license plates for vehicles registered in Cetinje, Montenegro.
  • E. CT
    CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
  • 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: CT
Triple: [Calgary Transit, hasAbbreviation, CT]
Generated description
CT is the commonly used abbreviation for Calgary Transit, the public transportation agency serving the city of Calgary, Alberta.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CT
Target entity description: CT is the commonly used abbreviation for Calgary Transit, the public transportation agency serving the city of Calgary, Alberta.
  • A. CT
    CT is a 3GPP core network and terminals working group responsible for specifying protocols and interfaces for mobile telecommunications systems.
  • B. CT
    CT is the official two-letter United States Postal Service abbreviation for the state of Connecticut.
  • C. CT
    CT is the postcode area covering Canterbury and surrounding parts of east Kent in southeastern England.
  • D. CT
    CT is the commonly used abbreviation for the Coral Triangle, a marine region in the western Pacific renowned as the global center of marine biodiversity.
  • E. CT
    CT is the vehicle registration code used on license plates for vehicles registered in Cetinje, Montenegro.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0cec448190b30466628a2ff23f completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148435f6081909bfc6cc1ef59d971 completed May 11, 2026, 3:08 a.m.
NEDg Description generation batch_6a014a4fdcf081908be68b1eda2066df completed May 11, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_6a014adf25808190ad712fbd7560e91d completed May 11, 2026, 3:19 a.m.
Created at: April 10, 2026, 5:37 a.m.