Triple

T222826
Position Surface form Disambiguated ID Type / Status
Subject Amstel River E4253 entity
Predicate mouth P407 FINISHED
Object IJmeer E33325 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: IJmeer | Statement: [Amstel River, mouth, IJmeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IJmeer
Context triple: [Amstel River, mouth, IJmeer]
  • A. IJmeer chosen
    IJmeer is a shallow lake in the Netherlands, located east of Amsterdam and forming part of the IJsselmeer lake system.
  • B. Nieuwe Waterweg
    Nieuwe Waterweg is a major artificial ship canal in the Netherlands that provides a direct deep-water connection between the North Sea and the port of Rotterdam.
  • C. IJssel
    The IJssel is a major distributary branch of the Rhine River in the Netherlands, flowing northward to the IJsselmeer and playing an important role in the country’s water management and inland navigation.
  • D. Haarlemmermeer
    Haarlemmermeer is a municipality in the province of North Holland in the Netherlands, best known for encompassing Amsterdam Airport Schiphol.
  • E. Brouwersdam
    Brouwersdam is a major Dutch dam and causeway in the Rhine–Meuse–Scheldt delta, built as part of the Delta Works to protect the Netherlands from North Sea flooding while supporting road traffic and water management.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c705fd88190bfee7f5e1f7cee17 completed Feb. 28, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3b06e75408190987d3dffed703e2e completed March 1, 2026, 3:20 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.