Triple

T26545090
Position Surface form Disambiguated ID Type / Status
Subject canton of Diekirch E671508 entity
Predicate hasUrbanArea P316 FINISHED
Object Diekirch–Ettelbruck agglomeration
The Diekirch–Ettelbruck agglomeration is a closely linked urban area in north-central Luxembourg centered on the twin towns of Diekirch and Ettelbruck, serving as a regional hub for commerce, services, and transport.
E1731863 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: Diekirch–Ettelbruck agglomeration | Statement: [canton of Diekirch, hasUrbanArea, Diekirch–Ettelbruck agglomeration]
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: Diekirch–Ettelbruck agglomeration
Triple: [canton of Diekirch, hasUrbanArea, Diekirch–Ettelbruck agglomeration]
Generated description
The Diekirch–Ettelbruck agglomeration is a closely linked urban area in north-central Luxembourg centered on the twin towns of Diekirch and Ettelbruck, serving as a regional hub for commerce, services, and transport.

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_69eeb3206e748190b90c85cc81f38c91 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f614351a14819084ddaf7f7a61e177 completed May 2, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c8176c4c819080c386c632d77df6 completed May 23, 2026, 3:30 p.m.
NEDg Description generation batch_6a11c930ba90819087b58de4a6cf4628 completed May 23, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_6a11ca6f162c8190a8c7fbc1e188ea90 completed May 23, 2026, 3:40 p.m.
Created at: April 27, 2026, 1:43 a.m.