Triple

T20227088
Position Surface form Disambiguated ID Type / Status
Subject Uitgeest railway station E495411 entity
Predicate nearbyWaterBody P1094 FINISHED
Object Uitgeestermeer E495410 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: Uitgeestermeer | Statement: [Uitgeest railway station, nearbyWaterBody, Uitgeestermeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uitgeestermeer
Context triple: [Uitgeest railway station, nearbyWaterBody, Uitgeestermeer]
  • A. Uitgeestermeer chosen
    Uitgeestermeer is a lake in North Holland, the Netherlands, known for its recreational boating, sailing, and natural wetland surroundings near the town of Uitgeest.
  • B. Alkmaardermeer
    Alkmaardermeer is a lake in North Holland, the Netherlands, known for recreational boating, sailing, and waterside leisure activities.
  • C. Zuidlaardermeer
    Zuidlaardermeer is a lake in the northern Netherlands known for its natural wetlands, birdlife, and recreational activities such as sailing and windsurfing.
  • D. Braassemermeer
    Braassemermeer is a lake in the Dutch province of South Holland, known for recreational boating and water sports.
  • E. 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.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66fda9428819098467e7e8c547a07 completed April 20, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08551dbe188190b04109a0ed355ff0 completed May 16, 2026, 11:29 a.m.
Created at: April 11, 2026, 11:39 p.m.