Triple

T7799551
Position Surface form Disambiguated ID Type / Status
Subject Ridderkerk E180392 entity
Predicate province P604 FINISHED
Object South Holland E13536 NE 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: South Holland | Statement: [Ridderkerk, province, South Holland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Holland
Context triple: [Ridderkerk, province, South Holland]
  • A. South Holland chosen
    South Holland is a densely populated coastal province in the western Netherlands that includes major cities such as The Hague and Rotterdam and hosts numerous international institutions.
  • B. South Holland
    South Holland is a local government district in the county of Lincolnshire, England, known for its extensive agricultural land and market towns.
  • C. South Holland, Illinois
    South Holland, Illinois is a suburban village south of Chicago known for its strong religious roots, strict local ordinances, and predominantly residential character.
  • D. County of Holland
    The County of Holland was a historically significant medieval and early modern county in the Low Countries that formed the political and economic core of what later became the Netherlands.
  • E. Halland
    Halland is a historical province on Sweden’s southwest coast along the Kattegat, known for its strategic coastal location and fertile agricultural landscape.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca827e50cc8190a92a733577184938 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cae985d8f08190b38d9d6848a7dc83 completed March 30, 2026, 9:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb142117b48190bdc17677592bfa8f completed March 31, 2026, 12:24 a.m.
Created at: March 30, 2026, 4:32 p.m.