Triple

T7685593
Position Surface form Disambiguated ID Type / Status
Subject Anders Jonas Ångström E174107 entity
Predicate hasUnitNamedAfter P63 FINISHED
Object ångström
The ångström is a non-SI unit of length equal to 10⁻¹⁰ meters, commonly used to express atomic-scale distances such as wavelengths of light and interatomic spacings.
 E681647 NE FINISHED

How this triple was built (4 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: ångström | Statement: [Anders Jonas Ångström, hasUnitNamedAfter, ångström]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ångström
Context triple: [Anders Jonas Ångström, hasUnitNamedAfter, ångström]
  • A. Åström
    Åström is a Swedish surname most notably associated with Karl Johan Åström, a pioneering control theorist and engineer.
  • B. Enström
    Enström is a Swedish surname most notably associated with professional ice hockey player Tobias Enström.
  • C. Lindström
    Lindström is a Swedish surname borne by various notable individuals in fields such as the arts, sports, and politics.
  • D. Sundström
    Sundström is a Swedish surname borne by various notable individuals, including actress Rebecca Ferguson.
  • E. Alström
    Alström is a Swedish surname borne by individuals such as actress Hanna Alström.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: ångström
Triple: [Anders Jonas Ångström, hasUnitNamedAfter, ångström]
Generated description
The ångström is a non-SI unit of length equal to 10⁻¹⁰ meters, commonly used to express atomic-scale distances such as wavelengths of light and interatomic spacings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ångström
Target entity description: The ångström is a non-SI unit of length equal to 10⁻¹⁰ meters, commonly used to express atomic-scale distances such as wavelengths of light and interatomic spacings.
  • A. Åström
    Åström is a Swedish surname most notably associated with Karl Johan Åström, a pioneering control theorist and engineer.
  • B. Enström
    Enström is a Swedish surname most notably associated with professional ice hockey player Tobias Enström.
  • C. Lindström
    Lindström is a Swedish surname borne by various notable individuals in fields such as the arts, sports, and politics.
  • D. Sundström
    Sundström is a Swedish surname borne by various notable individuals, including actress Rebecca Ferguson.
  • E. Alström
    Alström is a Swedish surname borne by individuals such as actress Hanna Alström.
  • F. None of above. chosen

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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7022118908190a3a93cfda79be0a4 completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a25c2a308190908ffdd2f0b7262f completed March 29, 2026, 3:54 a.m.
NEDg Description generation batch_69c8a37c995881908c71791c6cc002f3 completed March 29, 2026, 3:58 a.m.
NED2 Entity disambiguation (via description) batch_69c8a3fe63a4819086bcb5f80cdbd30b completed March 29, 2026, 4:01 a.m.
Created at: March 27, 2026, 4:02 p.m.