Triple

T26971036
Position Surface form Disambiguated ID Type / Status
Subject Hopf E679317 entity
Predicate hasNotableMathematicalConceptNamedAfter P29208 FINISHED
Object Hopf degree theorem
The Hopf degree theorem is a fundamental result in algebraic topology that classifies homotopy classes of continuous maps from an n-sphere to itself by their integer-valued degree.
E1759067 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: Hopf degree theorem | Statement: [Hopf, hasNotableMathematicalConceptNamedAfter, Hopf degree theorem]
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: Hopf degree theorem
Triple: [Hopf, hasNotableMathematicalConceptNamedAfter, Hopf degree theorem]
Generated description
The Hopf degree theorem is a fundamental result in algebraic topology that classifies homotopy classes of continuous maps from an n-sphere to itself by their integer-valued degree.

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_69eeeb507a7081909d516e1fa08b7d29 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f62124ff1081908d66c2ff35ba5e89 completed May 2, 2026, 4:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1253666df081908c7020659375bc2b completed May 24, 2026, 1:24 a.m.
NEDg Description generation batch_6a125433c0288190ab1e54c3d763468d completed May 24, 2026, 1:28 a.m.
NED2 Entity disambiguation (via description) batch_6a1254fc697c8190baf4f8adefcea4d2 completed May 24, 2026, 1:31 a.m.
Created at: April 27, 2026, 6:39 a.m.