Triple

T25391943
Position Surface form Disambiguated ID Type / Status
Subject Zoetermeer Oost E636190 entity
Predicate hasMapContext P18937 FINISHED
Object Netherlands South Holland region
The Netherlands South Holland region is a densely populated western Dutch province known for its major cities like Rotterdam and The Hague, extensive waterways, and significant economic and political importance.
 E1708861 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: Netherlands South Holland region | Statement: [Zoetermeer Oost, hasMapContext, Netherlands South Holland region]
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: Netherlands South Holland region
Triple: [Zoetermeer Oost, hasMapContext, Netherlands South Holland region]
Generated description
The Netherlands South Holland region is a densely populated western Dutch province known for its major cities like Rotterdam and The Hague, extensive waterways, and significant economic and political importance.

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_69e75db263888190b77fff9e2827b9a2 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f565719b788190bece84e6c21ebd38 completed May 2, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a111ae4476c8190a9cd99bf9db2352d completed May 23, 2026, 3:11 a.m.
NEDg Description generation batch_6a111c26bd588190bcb5b6acd9978f06 completed May 23, 2026, 3:16 a.m.
NED2 Entity disambiguation (via description) batch_6a111cfb960c8190ab95d50846acfb91 completed May 23, 2026, 3:20 a.m.
Created at: April 21, 2026, 1:49 p.m.