Triple

T25072271
Position Surface form Disambiguated ID Type / Status
Subject Zuidlaren E627946 entity
Predicate hasRecreationArea P5383 FINISHED
Object Zuidlaardermeergebied
Zuidlaardermeergebied is a lakeside nature and recreation area in the northern Netherlands known for water sports, birdlife, and scenic outdoor activities near the village of Zuidlaren.
E1666795 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: Zuidlaardermeergebied | Statement: [Zuidlaren, hasRecreationArea, Zuidlaardermeergebied]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zuidlaardermeergebied
Triple: [Zuidlaren, hasRecreationArea, Zuidlaardermeergebied]
Generated description
Zuidlaardermeergebied is a lakeside nature and recreation area in the northern Netherlands known for water sports, birdlife, and scenic outdoor activities near the village of Zuidlaren.

Provenance (5 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_69e2ff2d71dc8190b4758e57d643cbe4 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f45d15ff608190b0e2b223c82d20e7 completed May 1, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a105cebb2a0819097c2aa68c434a2a8 completed May 22, 2026, 1:40 p.m.
NEDg Description generation batch_6a105e32237c8190ba397b04b9692e7b completed May 22, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_6a105f5aa33c819098ce8cc50b09ee62 completed May 22, 2026, 1:51 p.m.
Created at: April 18, 2026, 6:17 a.m.