Triple

T20885309
Position Surface form Disambiguated ID Type / Status
Subject Oldambt E514261 entity
Predicate hasWaterBody P165 FINISHED
Object Oldambtmeer 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: Oldambtmeer | Statement: [Oldambt, hasWaterBody, Oldambtmeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oldambtmeer
Context triple: [Oldambt, hasWaterBody, Oldambtmeer]
  • A. Oldambtmeer chosen
    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.
  • B. Haarlemmermeer
    Haarlemmermeer is a municipality in the province of North Holland in the Netherlands, best known for encompassing Amsterdam Airport Schiphol.
  • C. Beemster Lake
    Beemster Lake was a former inland lake in the Netherlands that was drained in the early 17th century to create the Beemster polder, now a UNESCO World Heritage cultural landscape.
  • D. Meppelerdiep
    Meppelerdiep is a canalized river and important waterway in the northeastern Netherlands that connects the town of Meppel with larger regional waterways.
  • E. Watergraafsmeer
    Watergraafsmeer is a residential neighborhood and former polder in the eastern part of Amsterdam, known for its green spaces and relatively quiet, spacious character.
  • 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_69e0b4f733f081908a401c0b7beb0b9f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c67c9d1c81908031eb77c124f119 completed April 21, 2026, 12:36 a.m.
Created at: April 16, 2026, 12:46 p.m.