Triple

T3012126
Position Surface form Disambiguated ID Type / Status
Subject Longford E82246 entity
Predicate postcodeArea P920 FINISHED
Object UB
UB is a postcode area in the United Kingdom covering parts of west London and nearby areas.
 E317666 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: UB | Statement: [Longford, postcodeArea, UB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UB
Context triple: [Longford, postcodeArea, UB]
  • A. UB
    UB was the common abbreviation for the Urząd Bezpieczeństwa, the communist-era Polish secret police and security service notorious for political repression after World War II.
  • B. UB
    UB is the commonly used abbreviation for the University of Barcelona, a major public research university located in Barcelona, Spain.
  • C. UMB
    UMB is a public research university located on the waterfront in Boston, Massachusetts, known for its diverse student body and strong programs in liberal arts, sciences, and professional studies.
  • D. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • E. UL
    UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
  • 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: UB
Triple: [Longford, postcodeArea, UB]
Generated description
UB is a postcode area in the United Kingdom covering parts of west London and nearby areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UB
Target entity description: UB is a postcode area in the United Kingdom covering parts of west London and nearby areas.
  • A. UB
    UB was the common abbreviation for the Urząd Bezpieczeństwa, the communist-era Polish secret police and security service notorious for political repression after World War II.
  • B. UB
    UB is the commonly used abbreviation for the University of Barcelona, a major public research university located in Barcelona, Spain.
  • C. UMB
    UMB is a public research university located on the waterfront in Boston, Massachusetts, known for its diverse student body and strong programs in liberal arts, sciences, and professional studies.
  • D. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • E. UL
    UL is the New York Stock Exchange ticker symbol for Unilever, a major multinational consumer goods company known for its food, personal care, and household products.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a66c334819082d1d320c48eca1b completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e6410e481909753bef34e053363 completed March 11, 2026, 8:57 a.m.
NEDg Description generation batch_69b12f324fdc8190a279a773ef32ed01 completed March 11, 2026, 9 a.m.
NED2 Entity disambiguation (via description) batch_69b1c641f3308190912252e5d5e4f843 completed March 11, 2026, 7:45 p.m.
Created at: March 8, 2026, 3 p.m.