Triple

T18069886
Position Surface form Disambiguated ID Type / Status
Subject Streatham E432396 entity
Predicate mainRoad P5943 FINISHED
Object A23
A23 is a major road in London that runs through areas including Streatham, forming part of a key route between central London and the south coast.
 E1304057 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: A23 | Statement: [Streatham, mainRoad, A23]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: A23
Context triple: [Streatham, mainRoad, A23]
  • A. A232
    The A232 is a major road in the London Borough of Bromley that provides an important route for local and through traffic across South London.
  • B. A33
    A33 is a major road in southern England that runs between Reading and Southampton, serving as an important regional transport route.
  • C. A22
    A22 is a major Portuguese motorway, commonly known as Via do Infante, that runs across the Algarve region in southern Portugal.
  • D. A32
    A32 is an Australian state highway route designation assigned to the Mitchell Highway and associated connecting roads.
  • E. A-23
    A-23 is the internal station code assigned to Warsaw's Młociny metro station on Line M1.
  • 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: A23
Triple: [Streatham, mainRoad, A23]
Generated description
A23 is a major road in London that runs through areas including Streatham, forming part of a key route between central London and the south coast.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: A23
Target entity description: A23 is a major road in London that runs through areas including Streatham, forming part of a key route between central London and the south coast.
  • A. A232
    The A232 is a major road in the London Borough of Bromley that provides an important route for local and through traffic across South London.
  • B. A33
    A33 is a major road in southern England that runs between Reading and Southampton, serving as an important regional transport route.
  • C. A22
    A22 is a major Portuguese motorway, commonly known as Via do Infante, that runs across the Algarve region in southern Portugal.
  • D. A32
    A32 is an Australian state highway route designation assigned to the Mitchell Highway and associated connecting roads.
  • E. A-23
    A-23 is the internal station code assigned to Warsaw's Młociny metro station on Line M1.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cced29fc81908e87b4f1990fa0d8 completed April 19, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0356748f848190bb4c263355edf07f completed May 12, 2026, 4:33 p.m.
NEDg Description generation batch_6a03581a400c819091bbad0a45b482a0 completed May 12, 2026, 4:40 p.m.
NED2 Entity disambiguation (via description) batch_6a03590c44b8819099bbce039ddec07c completed May 12, 2026, 4:45 p.m.
Created at: April 10, 2026, 10:26 a.m.