Triple

T28720785
Position Surface form Disambiguated ID Type / Status
Subject Grabbeplatz, Düsseldorf E730087 entity
Predicate hasTouristAttraction P530 FINISHED
Object K20 art museum
K20 art museum is a major modern art museum in Düsseldorf renowned for its extensive collection of 20th-century masterpieces, including works by artists such as Picasso, Klee, and Warhol.
E1830601 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: K20 art museum | Statement: [Grabbeplatz, Düsseldorf, hasTouristAttraction, K20 art museum]
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: K20 art museum
Triple: [Grabbeplatz, Düsseldorf, hasTouristAttraction, K20 art museum]
Generated description
K20 art museum is a major modern art museum in Düsseldorf renowned for its extensive collection of 20th-century masterpieces, including works by artists such as Picasso, Klee, and Warhol.

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_69f043e91fe48190b73bcd8e08d433e0 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f657087c6481908ccf4599778d275d completed May 2, 2026, 7:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf5cd684819084b6e0f521a88d0b completed June 1, 2026, 12:16 a.m.
NEDg Description generation batch_6a1cd021944881908cae19ba344f1184 completed June 1, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_6a249466d5b08190bd3886ef517cb367 completed June 6, 2026, 9:43 p.m.
Created at: April 28, 2026, 5:53 a.m.