Triple

T3712092
Position Surface form Disambiguated ID Type / Status
Subject Abraham van Beijeren E81438 entity
Predicate workLocation P7 FINISHED
Object Overschie E382251 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: Overschie | Statement: [Abraham van Beijeren, workLocation, Overschie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Overschie
Context triple: [Abraham van Beijeren, workLocation, Overschie]
  • A. Overschie chosen
    Overschie is a historic neighborhood and former village now incorporated into the city of Rotterdam in the Netherlands.
  • B. Overhoeks
    Overhoeks is a modern waterfront district in Amsterdam known for its contemporary architecture, cultural venues, and redevelopment of former industrial land along the IJ river.
  • C. Overveen
    Overveen is a village in the Dutch province of North Holland, known for its proximity to the North Sea coast and the nearby dunes and forests.
  • D. Oversticht
    Oversticht was a medieval territorial region in the northern Low Countries that roughly corresponds to much of the modern Dutch province of Overijssel and surrounding areas.
  • E. Schierke
    Schierke is a small village in the Harz Mountains of Germany, known as a gateway to the Brocken peak and for its historic narrow-gauge railway connections and winter sports tourism.
  • 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc58617bc8190bb712d1c90394215 completed March 8, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e4ed47a88190ab5414b7618e7e9c completed March 14, 2026, 4:32 a.m.
Created at: March 8, 2026, 3:33 p.m.