Triple

T15051458
Position Surface form Disambiguated ID Type / Status
Subject Macroom E379370 entity
Predicate roadServedBy P385 FINISHED
Object R582
R582 is a regional road in Ireland that serves the town of Macroom and connects it to surrounding areas.
E1135308 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: R582 | Statement: [Macroom, roadServedBy, R582]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: R582
Context triple: [Macroom, roadServedBy, R582]
  • A. R59
    R59 is BMW’s internal model code for the Mini Roadster, a two-seat convertible variant of the modern Mini lineup.
  • B. R55
    R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
  • C. R28
    R28 is a regional commuter rail line within the Rodalies de Catalunya network serving passengers in Catalonia, Spain.
  • D. R8
    The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
  • E. R8
    R8 is a commuter rail line in the Rodalies de Catalunya network that connects various towns in the Barcelona metropolitan area without passing through the city center.
  • 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: R582
Triple: [Macroom, roadServedBy, R582]
Generated description
R582 is a regional road in Ireland that serves the town of Macroom and connects it to surrounding areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: R582
Target entity description: R582 is a regional road in Ireland that serves the town of Macroom and connects it to surrounding areas.
  • A. R59
    R59 is BMW’s internal model code for the Mini Roadster, a two-seat convertible variant of the modern Mini lineup.
  • B. R55
    R55 is a regional road in South Africa that runs through Gauteng, connecting areas such as Midrand with surrounding suburbs and major routes.
  • C. R28
    R28 is a regional commuter rail line within the Rodalies de Catalunya network serving passengers in Catalonia, Spain.
  • D. R8
    The Audi R8 is a high-performance mid-engine sports car known for its powerful engines, quattro all-wheel drive, and use of advanced lightweight construction.
  • E. R8
    R8 is a commuter rail line in the Rodalies de Catalunya network that connects various towns in the Barcelona metropolitan area without passing through the city center.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda90b9948190a0d71de0b23188da completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5bbdbc08190b020537fd1cbc11f completed May 9, 2026, 3:10 a.m.
NEDg Description generation batch_69fea76857a88190bf02702a352e9147 completed May 9, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_69fea83aaff48190af7a7399e40fdf46 completed May 9, 2026, 3:21 a.m.
Created at: April 10, 2026, 3:01 a.m.