Triple

T4310995
Position Surface form Disambiguated ID Type / Status
Subject Hompelvoet E94073 entity
Predicate locatedIn P40 FINISHED
Object Grevelingenmeer E115389 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: Grevelingenmeer | Statement: [Hompelvoet, locatedIn, Grevelingenmeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grevelingenmeer
Context triple: [Hompelvoet, locatedIn, Grevelingenmeer]
  • A. Grevelingenmeer chosen
    Grevelingenmeer is a large saltwater lake in the southwestern Netherlands, known for its water sports, nature reserves, and role in the Delta Works coastal defense system.
  • B. Volkerakmeer
    Volkerakmeer is a lake in the southwestern Netherlands that forms part of the Rhine–Meuse–Scheldt delta and serves as an important waterway and water management area.
  • C. Haarlemmermeer
    Haarlemmermeer is a municipality in the province of North Holland in the Netherlands, best known for encompassing Amsterdam Airport Schiphol.
  • D. Oldambtmeer
    Oldambtmeer is an artificial lake in the municipality of Oldambt in the province of Groningen, Netherlands, created as part of a large-scale landscape and recreational development project.
  • E. Braassemermeer
    Braassemermeer is a lake in the Dutch province of South Holland, known for recreational boating and water sports.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350d6cba08190a9440cee7b9dc40d completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b650abb8ec8190afb55dc0091f8415 completed March 15, 2026, 6:24 a.m.
Created at: March 12, 2026, 11:11 p.m.