Triple

T7505734
Position Surface form Disambiguated ID Type / Status
Subject Durham Region Transit E177381 entity
Predicate hasAbbreviation P43 FINISHED
Object DRT
DRT is the public transit agency serving Ontario’s Regional Municipality of Durham with bus and specialized transit services.
 E669292 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: DRT | Statement: [Durham Region Transit, hasAbbreviation, DRT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DRT
Context triple: [Durham Region Transit, hasAbbreviation, DRT]
  • A. DRPT
    DRPT is the state agency in Virginia responsible for planning, funding, and improving passenger and freight rail, public transit, and commuter services.
  • B. DRS
    DRS is the stock ticker symbol for Leonardo DRS, an American defense technology company specializing in advanced military and intelligence systems.
  • C. DRO
    DRO is the commonly used acronym for the Division of Regional Operations, an organizational unit that oversees and coordinates activities across multiple geographic regions.
  • D. DRA
    DRA is the commonly used abbreviation for the Democratic Republic of Afghanistan, the Soviet-aligned Afghan state that existed from 1978 to 1992.
  • E. DHR
    DHR is the stock ticker symbol for Danaher Corporation, a global science and technology company focused on life sciences, diagnostics, and environmental and applied solutions.
  • 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: DRT
Triple: [Durham Region Transit, hasAbbreviation, DRT]
Generated description
DRT is the public transit agency serving Ontario’s Regional Municipality of Durham with bus and specialized transit services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DRT
Target entity description: DRT is the public transit agency serving Ontario’s Regional Municipality of Durham with bus and specialized transit services.
  • A. DRPT
    DRPT is the state agency in Virginia responsible for planning, funding, and improving passenger and freight rail, public transit, and commuter services.
  • B. DRS
    DRS is the stock ticker symbol for Leonardo DRS, an American defense technology company specializing in advanced military and intelligence systems.
  • C. DRO
    DRO is the commonly used acronym for the Division of Regional Operations, an organizational unit that oversees and coordinates activities across multiple geographic regions.
  • D. DRA
    DRA is the commonly used abbreviation for the Democratic Republic of Afghanistan, the Soviet-aligned Afghan state that existed from 1978 to 1992.
  • E. DHR
    DHR is the stock ticker symbol for Danaher Corporation, a global science and technology company focused on life sciences, diagnostics, and environmental and applied solutions.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b5fcd88190ab4ab0ba96a6aa4b completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c9dcc2881908eea4efe075e894d completed March 28, 2026, 8:39 p.m.
NEDg Description generation batch_69c83e7b2ab08190a5ecb9b87af067a5 completed March 28, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69c842bad1e8819093bf61d9480dbd22 completed March 28, 2026, 9:06 p.m.
Created at: March 27, 2026, 3:44 p.m.