Triple

T10150716
Position Surface form Disambiguated ID Type / Status
Subject Sommelsdijk E232628 entity
Predicate nearbySettlement P350 FINISHED
Object Dirksland E70935 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: Dirksland | Statement: [Sommelsdijk, nearbySettlement, Dirksland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dirksland
Context triple: [Sommelsdijk, nearbySettlement, Dirksland]
  • A. Dirksland chosen
    Dirksland is a village and former municipality in the western Netherlands, located on the island of Goeree-Overflakkee in the province of South Holland.
  • B. Reiderland
    Reiderland was a former municipality in the province of Groningen in the northeastern Netherlands, later incorporated into the municipality of Oldambt.
  • C. Pajottenland
    Pajottenland is a rural region in the southwest of the Belgian province of Flemish Brabant, known for its rolling countryside, traditional farms, and production of lambic and gueuze beers.
  • D. Kamperland
    Kamperland is a village in the Dutch province of Zeeland, located on the island of Noord-Beveland and known as a coastal and recreational destination.
  • E. Hageland
    Hageland is a hilly, rural region in the eastern part of Flemish Brabant in Belgium, known for its orchards, vineyards, and scenic landscapes.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec0584a48190b65daa8370555c27 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e640d1e0819094d30556ccb958b0 completed April 5, 2026, 10:46 p.m.
Created at: March 30, 2026, 9:08 p.m.