Triple

T14368097
Position Surface form Disambiguated ID Type / Status
Subject River Lek E356286 entity
Predicate flowsThrough P225 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: [River Lek, flowsThrough, South Holland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Holland
Context triple: [River Lek, flowsThrough, 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. Het Hogeland region
    Het Hogeland region is a rural coastal area in the north of the Dutch province of Groningen, known for its open landscapes, historic villages, and agricultural 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c51bf888190b1776461884c4514 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.