Triple

T13335047
Position Surface form Disambiguated ID Type / Status
Subject UB postcode area E317666 entity
Predicate hasPostcodeDistrict P961 FINISHED
Object UB5
UB5 is a postal district in the UB (Southall) postcode area of west London, covering parts of Northolt in the London Borough of Ealing.
 E1035268 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: UB5 | Statement: [UB postcode area, hasPostcodeDistrict, UB5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UB5
Context triple: [UB postcode area, hasPostcodeDistrict, UB5]
  • A. UB7
    UB7 is a UK postal district in the Uxbridge area of west London, covering parts of West Drayton and nearby localities.
  • B. U5
    U5 is one of the lines of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
  • C. U5
    U5 is a major line of the Munich U-Bahn rapid transit system, running east–west across the city and serving several key residential and commercial districts.
  • D. U5
    U5 is a light rail line of the Stuttgart Stadtbahn public transit network in Stuttgart, Germany.
  • E. U5
    U5 is a major line of the Berlin U-Bahn rapid transit system that runs east–west across the city, connecting central Berlin with several eastern districts.
  • 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: UB5
Triple: [UB postcode area, hasPostcodeDistrict, UB5]
Generated description
UB5 is a postal district in the UB (Southall) postcode area of west London, covering parts of Northolt in the London Borough of Ealing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UB5
Target entity description: UB5 is a postal district in the UB (Southall) postcode area of west London, covering parts of Northolt in the London Borough of Ealing.
  • A. UB7
    UB7 is a UK postal district in the Uxbridge area of west London, covering parts of West Drayton and nearby localities.
  • B. U5
    U5 is one of the lines of the Frankfurt U-Bahn rapid transit system in Frankfurt, Germany.
  • C. U5
    U5 is a major line of the Munich U-Bahn rapid transit system, running east–west across the city and serving several key residential and commercial districts.
  • D. U5
    U5 is a light rail line of the Stuttgart Stadtbahn public transit network in Stuttgart, Germany.
  • E. U5
    U5 is a major line of the Berlin U-Bahn rapid transit system that runs east–west across the city, connecting central Berlin with several eastern districts.
  • 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_69d806b5a3c08190b42c267fb092f98a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d99cff44e08190b9583baf0b626e42 completed April 11, 2026, 12:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f39f298819088d79cda3ac2b375 completed May 3, 2026, 10:11 a.m.
NEDg Description generation batch_69f7204ac36c8190a04e921442489e9c completed May 3, 2026, 10:15 a.m.
NED2 Entity disambiguation (via description) batch_69f7221af9e881908b65ab2e7aec0c78 completed May 3, 2026, 10:23 a.m.
Created at: April 9, 2026, 9:30 p.m.