Triple

T37021703
Position Surface form Disambiguated ID Type / Status
Subject Wassenaar E916238 entity
Predicate isPartOf P10 FINISHED
Object Hollandse Duinen National Park (partly)
Hollandse Duinen National Park is a coastal nature reserve in the western Netherlands known for its dunes, beaches, and diverse landscapes stretching between The Hague and Leiden.
E2209153 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: Hollandse Duinen National Park (partly) | Statement: [Wassenaar, isPartOf, Hollandse Duinen National Park (partly)]
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: Hollandse Duinen National Park (partly)
Triple: [Wassenaar, isPartOf, Hollandse Duinen National Park (partly)]
Generated description
Hollandse Duinen National Park is a coastal nature reserve in the western Netherlands known for its dunes, beaches, and diverse landscapes stretching between The Hague and Leiden.

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_69f76e920dc48190acb6bb7ebc4dffab completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fa00914ba48190ae981dd537adbc5a completed May 5, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e577900f481909f26893397c5026e completed June 26, 2026, 10:42 a.m.
NEDg Description generation batch_6a3e582b14f48190965bd9f10b1b3f1a completed June 26, 2026, 10:44 a.m.
NED2 Entity disambiguation (via description) batch_6a3e82f3722481909ea787f30e07b8b0 completed June 26, 2026, 1:47 p.m.
Created at: May 3, 2026, 4:14 p.m.