Triple

T35812613
Position Surface form Disambiguated ID Type / Status
Subject HA postcode area E1035271 entity
Predicate containsPostalDistrict P32592 FINISHED
Object HA0 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: HA0 | Statement: [HA postcode area, containsPostalDistrict, HA0]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: containsPostalDistrict
Context triple: [HA postcode area, containsPostalDistrict, HA0]
  • A. hasPostcodeDistrictCode
    Indicates that an entity is associated with a specific postcode district code within a postal addressing system.
  • B. hasPostcodeDistrictNumber
    Indicates that an entity is associated with a specific numerical postcode district identifier within a postal code system.
  • C. isCentralPostalDistrict
    Indicates that a given postal district serves as the primary or central postal area within a city or region.
  • D. postalAreaIncludes chosen
    Indicates that a given postal area geographically contains or covers another specified location or region.
  • E. hasPostcodeDistrictsApprox
    Indicates that one entity is associated with a set of postcode districts in an approximate or non-exact manner.
  • 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_69f76e1762408190b885a8456862e372 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a00d24043e8819090cc473b6c0923d0 completed May 10, 2026, 6:45 p.m.
PD Predicate disambiguation batch_6a00d1ec12fc81908c514ed088ef8300 completed May 10, 2026, 6:43 p.m.
Created at: May 3, 2026, 4:06 p.m.