Triple

T23801839
Position Surface form Disambiguated ID Type / Status
Subject Luis Caffarelli E588692 entity
Predicate notableConcept P201 FINISHED
Object Caffarelli–Silvestre extension
The Caffarelli–Silvestre extension is a mathematical technique that represents fractional Laplacians as Dirichlet-to-Neumann maps of a local elliptic problem in one higher dimension, enabling the analysis of nonlocal operators using local PDE methods.
E1605272 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: Caffarelli–Silvestre extension | Statement: [Luis Caffarelli, notableConcept, Caffarelli–Silvestre extension]
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: Caffarelli–Silvestre extension
Triple: [Luis Caffarelli, notableConcept, Caffarelli–Silvestre extension]
Generated description
The Caffarelli–Silvestre extension is a mathematical technique that represents fractional Laplacians as Dirichlet-to-Neumann maps of a local elliptic problem in one higher dimension, enabling the analysis of nonlocal operators using local PDE methods.

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_69e25d15db58819092ac1e6791696fd9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c74e430481909debd10c71785912 completed April 29, 2026, 8:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f697a13188190a6d85741c0456940 completed May 21, 2026, 8:22 p.m.
NEDg Description generation batch_6a0f6d3de27c8190b3cab02a1dfce6ae completed May 21, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6e38cf648190b30122be93c70685 completed May 21, 2026, 8:42 p.m.
Created at: April 17, 2026, 7:53 p.m.