Triple

T17573927
Position Surface form Disambiguated ID Type / Status
Subject Giessenburg E428009 entity
Predicate locatedInProvincialEntity P35846 FINISHED
Object province of South Holland 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: province of South Holland | Statement: [Giessenburg, locatedInProvincialEntity, province of South Holland]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: locatedInProvincialEntity
Context triple: [Giessenburg, locatedInProvincialEntity, province of South Holland]
  • A. locatedInSubnationalEntity chosen
    Indicates that one entity is geographically or administratively situated within a specific subnational division, such as a state, province, or region.
  • B. stationedInProvince
    Indicates that an entity is assigned or based in a particular province as its location or area of operation.
  • C. locatedInInstitutionProvince
    Indicates that an institution is situated within a specific province.
  • D. basedInAdministrativeTerritorialEntity
    Indicates that an entity is located or has its base of operations within a specified administrative territorial unit (such as a city, state, province, or region).
  • E. locatedInCountryCapitalOfProvince
    Indicates that an entity is located in the country that contains the capital city of a specified province.
  • 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_69d889e0385081908a04b66f4dd4bd0d completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e459330c788190907a02fc98e0e24b completed April 19, 2026, 4:25 a.m.
PD Predicate disambiguation batch_69e3b4fd7d048190b54ee4c6155612a5 completed April 18, 2026, 4:44 p.m.
Created at: April 10, 2026, 5:50 a.m.