Triple

T2603728
Position Surface form Disambiguated ID Type / Status
Subject A5103 road E58604 entity
Predicate roadNumber P1864 FINISHED
Object A5103
A5103 is a primary A-road in Manchester, England, providing a key route between the city centre and the M56 motorway.
 E281500 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: A5103 | Statement: [A5103 road, roadNumber, A5103]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A5103
Context triple: [A5103 road, roadNumber, A5103]
  • A. A500
    A500 is the common shorthand for the Commodore Amiga 500, a popular late-1980s home computer known for its advanced graphics and sound capabilities.
  • B. A59
    A59 is a major road in northern England that runs between Liverpool and York, passing through key towns such as Preston and Skipton.
  • C. A4120
    A4120 is a numbered A-road in the United Kingdom that serves as a regional connector route.
  • D. A35
    A35 is a major French motorway in the Alsace region that runs north–south near the German border, connecting cities such as Strasbourg and Mulhouse.
  • E. A359
    A359 is the ICAO aircraft type designator for the Airbus A350-900, a long-range, wide-body twin-engine jet airliner used primarily for international passenger flights.
  • 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: A5103
Triple: [A5103 road, roadNumber, A5103]
Generated description
A5103 is a primary A-road in Manchester, England, providing a key route between the city centre and the M56 motorway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A5103
Target entity description: A5103 is a primary A-road in Manchester, England, providing a key route between the city centre and the M56 motorway.
  • A. A500
    A500 is the common shorthand for the Commodore Amiga 500, a popular late-1980s home computer known for its advanced graphics and sound capabilities.
  • B. A59
    A59 is a major road in northern England that runs between Liverpool and York, passing through key towns such as Preston and Skipton.
  • C. A4120
    A4120 is a numbered A-road in the United Kingdom that serves as a regional connector route.
  • D. A35
    A35 is a major French motorway in the Alsace region that runs north–south near the German border, connecting cities such as Strasbourg and Mulhouse.
  • E. A359
    A359 is the ICAO aircraft type designator for the Airbus A350-900, a long-range, wide-body twin-engine jet airliner used primarily for international passenger flights.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8340eac819084eb1fe6f0ac0aa0 completed March 7, 2026, 7:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83d6daa4819087ee111e648ce71d completed March 10, 2026, 2:37 a.m.
NEDg Description generation batch_69af851e85e0819080d57dc7dbd3a901 completed March 10, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69af858561f48190b7a2863d733a1b13 completed March 10, 2026, 2:44 a.m.
Created at: March 6, 2026, 9:49 p.m.