Triple

T38625280
Position Surface form Disambiguated ID Type / Status
Subject Glarus thrust E936987 entity
Predicate studiedBy P1945 FINISHED
Object Hans Conrad Escher von der Linth
Hans Conrad Escher von der Linth was a Swiss engineer, geologist, and politician known for his pioneering work in Alpine geology and major river-regulation projects in Switzerland.
E2277770 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: Hans Conrad Escher von der Linth | Statement: [Glarus thrust, studiedBy, Hans Conrad Escher von der Linth]
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: Hans Conrad Escher von der Linth
Triple: [Glarus thrust, studiedBy, Hans Conrad Escher von der Linth]
Generated description
Hans Conrad Escher von der Linth was a Swiss engineer, geologist, and politician known for his pioneering work in Alpine geology and major river-regulation projects in Switzerland.

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_69f76ed403208190b862dc795171353f completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcd9969b7881908e6f2315a5468b14 completed May 7, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41f44eff588190bdc886ec2f7f7bcf completed June 29, 2026, 4:27 a.m.
NEDg Description generation batch_6a41f4b9ac308190ad945a698bcfd9fc completed June 29, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_6a41f578e16881908da0413e8dfd17e1 completed June 29, 2026, 4:32 a.m.
Created at: May 3, 2026, 4:32 p.m.