Triple

T21183399
Position Surface form Disambiguated ID Type / Status
Subject Maarssen E522008 entity
Predicate hasRiverFeature P1094 FINISHED
Object Vechtstreek 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: Vechtstreek | Statement: [Maarssen, hasRiverFeature, Vechtstreek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vechtstreek
Context triple: [Maarssen, hasRiverFeature, Vechtstreek]
  • A. Bollenstreek
    Bollenstreek is a coastal region in the western Netherlands famous for its extensive flower bulb fields and springtime tulip displays.
  • B. Vecht
    The Vecht is a river in the eastern Netherlands and western Germany known for flowing through the province of Overijssel and into the IJsselmeer.
  • C. Vecht chosen
    The Vecht is a Dutch river known for flowing through the province of Utrecht past historic towns, castles, and scenic landscapes before reaching the IJsselmeer.
  • D. Sliedrecht
    Sliedrecht is a town in the western Netherlands known for its historic shipbuilding and dredging industries along the river Merwede.
  • E. Achterhoek
    Achterhoek is a rural region in the eastern Netherlands known for its scenic landscapes, traditional farms, and distinctive local culture and dialect.
  • 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_69e0b50ef1d48190b063aa342667df22 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7301f7f1c81908686866fdee57127 completed April 21, 2026, 8:06 a.m.
Created at: April 16, 2026, 3:05 p.m.