Triple

T9224304
Position Surface form Disambiguated ID Type / Status
Subject Everbeek E221640 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: [Everbeek, locatedIn, Denderstreek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denderstreek
Context triple: [Everbeek, 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda9c71c4819089dcc3689f322529 completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1ba860c8190b621b9fe88bc6ba2 completed April 4, 2026, 6:37 a.m.
Created at: March 30, 2026, 7:28 p.m.