Triple

T8527687
Position Surface form Disambiguated ID Type / Status
Subject Wilrijk E201858 entity
Predicate near P350 FINISHED
Object Antwerp city centre E677440 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 city centre | Statement: [Wilrijk, near, Antwerp city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antwerp city centre
Context triple: [Wilrijk, near, Antwerp city centre]
  • A. Antwerp-Centrum chosen
    Antwerp-Centrum is the central district of Antwerp, Belgium, encompassing the historic city center, major commercial areas, and key landmarks.
  • B. Anderlecht town centre
    Anderlecht town centre is the historic and administrative heart of the Anderlecht municipality in Brussels, known for its local government buildings, shops, and traditional urban character.
  • C. Lower Town of Brussels
    The Lower Town of Brussels is the historic commercial and popular heart of the city, characterized by its medieval street layout, bustling squares, and dense urban fabric surrounding the Grand Place.
  • 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. Knokke-Heist
    Knokke-Heist is a Belgian coastal resort town known for its beaches, upscale tourism, and proximity to the Dutch border.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6477100819081fa20cb6b8ea3d7 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d54ef908190970a1010c8018abd completed April 2, 2026, 1:21 p.m.
Created at: March 30, 2026, 6:17 p.m.