Triple

T14186580
Position Surface form Disambiguated ID Type / Status
Subject Oostflakkee E351592 entity
Predicate hadPostalCodeRange P476 FINISHED
Object 3255 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: 3255 | Statement: [Oostflakkee, hadPostalCodeRange, 3255]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadPostalCodeRange
Context triple: [Oostflakkee, hadPostalCodeRange, 3255]
  • A. postalCodeRange chosen
    Indicates that one entity specifies a contiguous range of postal codes applicable to another entity or context.
  • B. postalAreaIncludes
    Indicates that a given postal area geographically contains or covers another specified location or region.
  • C. hasPostalCodePrefix
    Indicates that a location’s postal code begins with a specified sequence of characters.
  • D. hasPostalServiceThrough
    Indicates that one entity receives or provides postal services by means of, or via the infrastructure of, another entity.
  • E. postalArea
    Indicates that one entity is the postal or ZIP code area associated with the location or address represented by the other entity.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cd5778819092a03597bcdcc182 completed April 14, 2026, 3:48 p.m.
PD Predicate disambiguation batch_69de05baed64819096590e5618a3a8ed completed April 14, 2026, 9:15 a.m.
Created at: April 10, 2026, 1:03 a.m.