Triple

T9262267
Position Surface form Disambiguated ID Type / Status
Subject Llangefni E222606 entity
Predicate roadAccess P385 FINISHED
Object A5114
The A5114 is a local A-road in Anglesey, Wales, providing a key route into and through the town of Llangefni.
 E788232 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: A5114 | Statement: [Llangefni, roadAccess, A5114]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A5114
Context triple: [Llangefni, roadAccess, A5114]
  • A. A51
    A51 is the station code for the Euclid Avenue subway station in New York City’s transit system.
  • B. A5103
    A5103 is a primary A-road in Manchester, England, providing a key route between the city centre and the M56 motorway.
  • C. A414
    The A414 is a major east–west road in southern England that links several Hertfordshire towns and provides an important route near Welwyn Garden City.
  • D. A41
    The A41 is a major road in England that runs between London and Birkenhead, serving as an important route through the Midlands and Home Counties.
  • E. A55
    The A55 is a major road in North Wales that forms part of the key route along the north coast, linking towns such as Hawarden to the wider regional and national road network.
  • 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: A5114
Triple: [Llangefni, roadAccess, A5114]
Generated description
The A5114 is a local A-road in Anglesey, Wales, providing a key route into and through the town of Llangefni.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A5114
Target entity description: The A5114 is a local A-road in Anglesey, Wales, providing a key route into and through the town of Llangefni.
  • A. A51
    A51 is the station code for the Euclid Avenue subway station in New York City’s transit system.
  • B. A5103
    A5103 is a primary A-road in Manchester, England, providing a key route between the city centre and the M56 motorway.
  • C. A414
    The A414 is a major east–west road in southern England that links several Hertfordshire towns and provides an important route near Welwyn Garden City.
  • D. A41
    The A41 is a major road in England that runs between London and Birkenhead, serving as an important route through the Midlands and Home Counties.
  • E. A55
    A55 is a major Australian highway route designation used for sections of the Castlereagh Highway in New South Wales.
  • 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_69ca841f2e808190a64f4c31903a1332 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd07189bc48190987315bd5d3ce4f1 completed April 1, 2026, 11:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c0526c48190aae93a70cfe5562c completed April 4, 2026, 5:05 a.m.
NEDg Description generation batch_69d09d6cc45c8190b6cb44212ccfcbc8 completed April 4, 2026, 5:11 a.m.
NED2 Entity disambiguation (via description) batch_69d09e2069048190ac22b738fa324771 completed April 4, 2026, 5:14 a.m.
Created at: March 30, 2026, 7:32 p.m.