Triple

T4945587
Position Surface form Disambiguated ID Type / Status
Subject Baarn E111040 entity
Predicate borderedBy P224 FINISHED
Object Eemnes E328597 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: Eemnes | Statement: [Baarn, borderedBy, Eemnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eemnes
Context triple: [Baarn, borderedBy, Eemnes]
  • A. Eemnes chosen
    Eemnes is a small town and municipality in the central Netherlands known for its characteristic polder landscape and historic village centers.
  • B. Sennevika
    Sennevika is a small settlement located on the island of Senja in northern Norway, known for its coastal Arctic landscape.
  • C. Emmen
    Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
  • D. Femunden
    Femunden is one of Norway's largest lakes, located in the eastern part of the country near the Swedish border and known for its wilderness landscapes and outdoor recreation.
  • E. Bruinisse
    Bruinisse is a fishing village and tourist destination in the Dutch province of Zeeland, known for its mussel industry and location on the Grevelingen.
  • 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70aa890c81908e685ec5e88cae1f completed March 20, 2026, 4:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77c6566c8190b0c76c05b9d82053 completed March 21, 2026, 10:49 a.m.
Created at: March 20, 2026, 1:31 p.m.