Triple

T19295447
Position Surface form Disambiguated ID Type / Status
Subject Masterplan for Almere Center E482549 entity
Predicate locatedIn P40 FINISHED
Object Almere city center NE NERFINISHED

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: Almere city center | Statement: [Masterplan for Almere Center, locatedIn, Almere city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Almere city center
Context triple: [Masterplan for Almere Center, locatedIn, Almere city center]
  • A. Almere Centrum chosen
    Almere Centrum is the main railway station and central transport hub serving the city of Almere in the Netherlands.
  • B. Almere Buiten
    Almere Buiten is a residential district in the city of Almere in the Dutch province of Flevoland, known for its modern urban planning and family-oriented neighborhoods.
  • C. Almere Buiten
    Almere Buiten is a railway station serving the Almere Buiten district in the city of Almere in the Netherlands.
  • D. Almere
    Almere is a modern planned city in the Dutch province of Flevoland, known for its rapid growth, contemporary architecture, and role as a major commuter town near Amsterdam.
  • E. Rotterdam city centre
    Rotterdam city centre is the vibrant commercial and cultural heart of Rotterdam, known for its modern architecture, shopping streets, and major transport hubs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc8533c08190822a917ffa32812d completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.