Triple

T16704657
Position Surface form Disambiguated ID Type / Status
Subject Sticht Utrecht E405934 entity
Predicate hasTerritorialDivision P747 FINISHED
Object Nedersticht E405935 NE FINISHED

How this triple was built (3 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: Nedersticht | Statement: [Sticht Utrecht, hasTerritorialDivision, Nedersticht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nedersticht
Context triple: [Sticht Utrecht, hasTerritorialDivision, Nedersticht]
  • A. Nedersticht chosen
    Nedersticht was the historical name for the core territory around the city of Utrecht that formed the southern part of the medieval Prince-Bishopric of Utrecht in the Low Countries.
  • B. Heijningen
    Heijningen is a small village in the Dutch province of North Brabant, located in the municipality of Moerdijk.
  • C. Nederasselt
    Nederasselt is a village in the Dutch province of Gelderland, located within the municipality of Heumen.
  • D. Westmaas
    Westmaas is a village in the Dutch province of South Holland, located on the island of Hoeksche Waard.
  • E. Betuwe
    Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTerritorialDivision
Context triple: [Sticht Utrecht, hasTerritorialDivision, Nedersticht]
  • A. hasSubdivision chosen
    Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
  • B. hasFormOfTerritorialOrganization
    Indicates that one entity possesses or is structured according to a particular type or form of territorial organization.
  • C. hasNationalSubdivisionType
    Indicates that an entity is associated with a specific type or category of national-level administrative subdivision (e.g., state, province, region).
  • D. isSubnationalDivisionOf
    Indicates that one entity is an administrative or territorial subdivision that is officially part of, and governed within the jurisdiction of, another larger political entity.
  • E. hasHigherLevelSubdivision
    Indicates that one administrative or organizational unit is contained within and subordinate to a larger, higher-level subdivision.
  • F. None of above.

Provenance (4 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3833496dc8190ae4b4a03ba04d69d completed April 18, 2026, 1:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a51378788190b9f3bb0a344dcdd8 completed May 10, 2026, 3:32 p.m.
PD Predicate disambiguation batch_69e319c379f88190ac0adf812486f598 completed April 18, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:19 a.m.