Triple

T2317217
Position Surface form Disambiguated ID Type / Status
Subject Lordship of Groningen E51092 entity
Predicate borderedBy P224 FINISHED
Object Ommelanden E51067 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: Ommelanden | Statement: [Lordship of Groningen, borderedBy, Ommelanden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ommelanden
Context triple: [Lordship of Groningen, borderedBy, Ommelanden]
  • A. Ommelanden chosen
    Ommelanden is the rural region surrounding the city of Groningen in the northern Netherlands, historically known for its Frisian culture and agricultural landscape.
  • B. Mijnsheerenland
    Mijnsheerenland is a village in the Dutch province of South Holland, known for its rural character and location on the island of Hoeksche Waard.
  • C. Vierpolders
    Vierpolders is a village in the Dutch province of South Holland, known for its rural character and location near the town of Brielle.
  • D. Molenlanden
    Molenlanden is a municipality in the Dutch province of South Holland, known for its rural landscape, historic villages, and proximity to the Kinderdijk windmills.
  • E. Bergen op Zoom
    Bergen op Zoom is a historic city in the Dutch province of North Brabant, known for its medieval center, fortifications, and location near the Scheldt estuary.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc62df2048190ac7a5ebc0a4139b2 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae8964902081909070dd03ccb7cf1f completed March 9, 2026, 8:48 a.m.
Created at: March 4, 2026, 7:49 p.m.