Triple

T9438575
Position Surface form Disambiguated ID Type / Status
Subject Michelbeke E227581 entity
Predicate locatedIn P40 FINISHED
Object Denderstreek E419077 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: Denderstreek | Statement: [Michelbeke, locatedIn, Denderstreek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denderstreek
Context triple: [Michelbeke, locatedIn, Denderstreek]
  • A. Denderstreek chosen
    Denderstreek is a region in Belgium known for its towns and landscapes along the River Dender, featuring a mix of historic urban centers and rural scenery.
  • B. Cromstrijen
    Cromstrijen was a former municipality in the Dutch province of South Holland, comprising several villages on the island of Hoeksche Waard.
  • C. Strandvliet
    Strandvliet is a metro station in Amsterdam that serves passengers on the city's rapid transit network.
  • D. Bollenstreek
    Bollenstreek is a coastal region in the western Netherlands famous for its extensive flower bulb fields and springtime tulip displays.
  • E. Zandkreek
    Zandkreek is a tidal waterway and former estuary in the Dutch province of Zeeland, known for its role in regional water management and coastal protection.
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ee1c8c48190a2ae8673eee07e9a completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11053d8008190a29575149d2e027f completed April 4, 2026, 1:21 p.m.
Created at: March 30, 2026, 7:50 p.m.