Triple

T13335089
Position Surface form Disambiguated ID Type / Status
Subject UB7 E317667 entity
Predicate neighbouringPostcodeDistrict P73814 FINISHED
Object UB3 LITERAL FINISHED

How this triple was built (2 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: UB3 | Statement: [UB7, neighbouringPostcodeDistrict, UB3]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: neighbouringPostcodeDistrict
Context triple: [UB7, neighbouringPostcodeDistrict, UB3]
  • A. hasNeighbouringPostcodeDistrict chosen
    Indicates that one postcode district is geographically adjacent to or directly borders another postcode district.
  • B. hasPostcodeDistrictCode
    Indicates that an entity is associated with a specific postcode district code within a postal addressing system.
  • C. hasPostcodeDistrictsApprox
    Indicates that one entity is associated with a set of postcode districts in an approximate or non-exact manner.
  • D. hasPostcodeSector
    Indicates that an entity is associated with a specific postcode sector within a postal addressing system.
  • E. neighbouringMunicipality
    Indicates that one municipality directly borders and is adjacent to another municipality.
  • F. None of above.

Provenance (3 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.
PD Predicate disambiguation batch_69d98f6e53d88190bd6aa42f69b10ffb completed April 11, 2026, 12:01 a.m.
Created at: April 9, 2026, 9:30 p.m.