Triple

T14186600
Position Surface form Disambiguated ID Type / Status
Subject Hoeksche Waard E351593 entity
Predicate hasPart P35 FINISHED
Object Numansdorp E221091 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: Numansdorp | Statement: [Hoeksche Waard, hasPart, Numansdorp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Numansdorp
Context triple: [Hoeksche Waard, hasPart, Numansdorp]
  • A. Numansdorp chosen
    Numansdorp is a village in the western Netherlands known for its rural character and location on the island of Hoeksche Waard.
  • B. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • C. Duinbergen
    Duinbergen is a coastal residential and resort neighborhood within the Belgian municipality of Knokke-Heist, known for its beaches and seaside villas.
  • D. Dysselsdorp
    Dysselsdorp is a small rural town in South Africa’s Western Cape province, situated in the semi-arid Little Karoo region.
  • E. Zundert
    Zundert is a municipality and town in the southern Netherlands, known as the birthplace of painter Vincent van Gogh and for hosting one of the world's largest flower parades.
  • 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_69d8278834a08190b0f1784e58d7b99c completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61cd5778819092a03597bcdcc182 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffeb75ea708190a30153c76cde8e79 completed May 10, 2026, 2:20 a.m.
Created at: April 10, 2026, 1:03 a.m.