Triple

T35986710
Position Surface form Disambiguated ID Type / Status
Subject Hennenman E1040729 entity
Predicate provinceIsoCode P197431 FINISHED
Object ZA-FS 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: ZA-FS | Statement: [Hennenman, provinceIsoCode, ZA-FS]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: provinceIsoCode
Context triple: [Hennenman, provinceIsoCode, ZA-FS]
  • A. provinceISOCode chosen
    Indicates the standardized ISO code assigned to the province associated with the subject entity.
  • B. parentISO3166Code
    Indicates that one geographic or political entity is hierarchically contained within or derived from another, as represented by its parent ISO 3166 country or region code.
  • C. ISOCode
    Indicates that an entity is associated with a specific standardized code defined by the International Organization for Standardization (ISO).
  • D. postalCountry
    Indicates the country associated with an entity’s postal or mailing address.
  • E. countryDeJure
    Indicates that one entity is the legally recognized (de jure) country having sovereignty or authority over another 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_69f76e28293c8190ae3f4e2208b87117 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fe9dfaa2d08190b2084f63f842eb6b completed May 9, 2026, 2:37 a.m.
PD Predicate disambiguation batch_69fe9bba947c81908b0b2b92a4d19b37 completed May 9, 2026, 2:28 a.m.
Created at: May 3, 2026, 4:07 p.m.