Triple

T1512433
Position Surface form Disambiguated ID Type / Status
Subject Antwerp E32042 entity
Predicate hasDistrict P459 FINISHED
Object Antwerp district E172475 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: Antwerp district | Statement: [Antwerp, hasDistrict, Antwerp district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antwerp district
Context triple: [Antwerp, hasDistrict, Antwerp district]
  • A. Antwerp Province
    Antwerp Province is a northern Belgian province in the Flemish Region, known for its capital city Antwerp, a major European port and cultural center.
  • B. Arrondissement of Antwerp chosen
    The Arrondissement of Antwerp is an administrative district in the Belgian province of Antwerp that includes the city of Antwerp and surrounding municipalities.
  • C. Vilvoorde
    Vilvoorde is a city in the Flemish Region of Belgium, located just north of Brussels and known as part of the capital’s broader metropolitan area.
  • D. Antwerp
    Antwerp is a major Belgian port city on the River Scheldt, renowned as a global center for the diamond trade and its historic Flemish art and architecture.
  • E. West Flanders
    West Flanders is a coastal province in the northwest of Belgium known for its historic towns, North Sea shoreline, and role in World War I.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907d7cbf48190be40590a7f9fa1de completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6adcef5881908cefd7d575b85323 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:26 p.m.