Triple

T27475370
Position Surface form Disambiguated ID Type / Status
Subject Crypto Valley E693441 entity
Predicate hasOrganization P629 FINISHED
Object Crypto Valley Labs
Crypto Valley Labs is a startup incubator and coworking hub in Switzerland’s Crypto Valley that supports blockchain and cryptocurrency ventures with space, resources, and community.
E1778313 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: Crypto Valley Labs | Statement: [Crypto Valley, hasOrganization, Crypto Valley Labs]
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: Crypto Valley Labs
Triple: [Crypto Valley, hasOrganization, Crypto Valley Labs]
Generated description
Crypto Valley Labs is a startup incubator and coworking hub in Switzerland’s Crypto Valley that supports blockchain and cryptocurrency ventures with space, resources, and community.

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_69ef5381f2648190a2392d0fab833095 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f62e43391481908de5e30f1ae077df completed May 2, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12c5a07bf88190855441e474154b1a completed May 24, 2026, 9:32 a.m.
NEDg Description generation batch_6a12c6b232108190a185cccf8206578f completed May 24, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_6a12c74f073c8190b84c1e5acc666bf3 completed May 24, 2026, 9:39 a.m.
Created at: April 27, 2026, 12:56 p.m.