Triple

T5357595
Position Surface form Disambiguated ID Type / Status
Subject Winschoten E102734 entity
Predicate nearWaterBody P8567 FINISHED
Object Oldambtmeer E298727 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: Oldambtmeer | Statement: [Winschoten, nearWaterBody, Oldambtmeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oldambtmeer
Context triple: [Winschoten, nearWaterBody, 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. 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.
  • D. 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.
  • E. Alkmaardermeer
    Alkmaardermeer is a lake in North Holland, the Netherlands, known for recreational boating, sailing, and waterside leisure activities.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd863099b081909d20f7014b98de5a completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf333e785c819092afe751934662f0 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 2:01 p.m.