Triple

T334384
Position Surface form Disambiguated ID Type / Status
Subject A44 road E6692 entity
Predicate roadNumber P1864 FINISHED
Object A44
A44 is a major trunk road in the United Kingdom that runs across central and western England into mid Wales, linking several important towns and regions.
 E42589 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: A44 | Statement: [A44 road, roadNumber, A44]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A44
Context triple: [A44 road, roadNumber, A44]
  • A. AT4
    AT4 is an off-road-focused trim level of the GMC Sierra pickup truck, featuring enhanced suspension, rugged styling, and all-terrain capability.
  • B. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • C. AA
    AA was the common abbreviation for the German Foreign Office (Auswärtiges Amt) during the Nazi era.
  • D. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • E. A4AI
    A4AI is a global coalition of governments, companies, and civil society organizations working to make broadband internet more affordable and accessible in developing countries.
  • 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: A44
Triple: [A44 road, roadNumber, A44]
Generated description
A44 is a major trunk road in the United Kingdom that runs across central and western England into mid Wales, linking several important towns and regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A44
Target entity description: A44 is a major trunk road in the United Kingdom that runs across central and western England into mid Wales, linking several important towns and regions.
  • A. AT4
    AT4 is an off-road-focused trim level of the GMC Sierra pickup truck, featuring enhanced suspension, rugged styling, and all-terrain capability.
  • B. AA
    AA is the two-letter IATA airline designator used to identify American Airlines in flight schedules, tickets, and aviation systems.
  • C. AA
    AA was the common abbreviation for the German Foreign Office (Auswärtiges Amt) during the Nazi era.
  • D. AAR
    AAR is the American Association of Railroads' wheel arrangement classification system commonly used to describe locomotive axle configurations in North America.
  • E. A4AI
    A4AI is a global coalition of governments, companies, and civil society organizations working to make broadband internet more affordable and accessible in developing countries.
  • 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_69a2e79434908190a9d5afe415153ad9 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eac641708190b85fa21368e5de8e completed Feb. 28, 2026, 1:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3d247650481909006cc27bfa385e3 completed March 1, 2026, 5:44 a.m.
NEDg Description generation batch_69a3d2d8aa64819095cdee306bec77ec completed March 1, 2026, 5:47 a.m.
NED2 Entity disambiguation (via description) batch_69a3d370d200819089eaf114357a8ca3 completed March 1, 2026, 5:49 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.