Triple

T5020858
Position Surface form Disambiguated ID Type / Status
Subject Brize Norton E112844 entity
Predicate hasNearbyRoad P11435 FINISHED
Object B4477
B4477 is a local road in Oxfordshire, England, serving the area around the village of Brize Norton and its surroundings.
 E485823 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: B4477 | Statement: [Brize Norton, hasNearbyRoad, B4477]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: B4477
Context triple: [Brize Norton, hasNearbyRoad, B4477]
  • A. B47
    B47 is a New York City bus route that connects the Mill Basin neighborhood in Brooklyn with other parts of the borough.
  • B. A470
    A470 is a major trunk road in Wales that runs from Cardiff in the south to Llandudno in the north, linking many of the country’s key towns and regions.
  • C. 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.
  • D. M1044
    The M1044 is a specific armored variant of the military Humvee designed for enhanced protection and tactical utility in combat environments.
  • E. B4
    B4 is the internal designation for the fourth-generation Volkswagen Passat, produced in the mid-1990s with updated styling and engineering over its predecessor.
  • 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: B4477
Triple: [Brize Norton, hasNearbyRoad, B4477]
Generated description
B4477 is a local road in Oxfordshire, England, serving the area around the village of Brize Norton and its surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: B4477
Target entity description: B4477 is a local road in Oxfordshire, England, serving the area around the village of Brize Norton and its surroundings.
  • A. B47
    B47 is a New York City bus route that connects the Mill Basin neighborhood in Brooklyn with other parts of the borough.
  • B. A470
    A470 is a major trunk road in Wales that runs from Cardiff in the south to Llandudno in the north, linking many of the country’s key towns and regions.
  • C. 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.
  • D. M1044
    The M1044 is a specific armored variant of the military Humvee designed for enhanced protection and tactical utility in combat environments.
  • E. B4
    B4 is the internal designation for the fourth-generation Volkswagen Passat, produced in the mid-1990s with updated styling and engineering over its predecessor.
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd736399ac8190aa38efc4b4edc6a2 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be927f4ad0819096826f6cb141c90b completed March 21, 2026, 12:43 p.m.
NEDg Description generation batch_69be92e7304081909747a34dff7f9e25 completed March 21, 2026, 12:45 p.m.
NED2 Entity disambiguation (via description) batch_69be935872a88190adec17789298e01a completed March 21, 2026, 12:47 p.m.
Created at: March 20, 2026, 1:36 p.m.