Triple

T37659052
Position Surface form Disambiguated ID Type / Status
Subject Distagon lens design E937671 entity
Predicate hasCommercialName P24555 FINISHED
Object Distagon
Distagon is a wide-angle photographic lens design developed by Carl Zeiss, known for its retrofocus construction that allows high image quality while accommodating SLR camera mirror mechanisms.
 E2236782 NE FINISHED

How this triple was built (3 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: Distagon | Statement: [Distagon lens design, hasCommercialName, Distagon]
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: Distagon
Triple: [Distagon lens design, hasCommercialName, Distagon]
Generated description
Distagon is a wide-angle photographic lens design developed by Carl Zeiss, known for its retrofocus construction that allows high image quality while accommodating SLR camera mirror mechanisms.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasCommercialName
Context triple: [Distagon lens design, hasCommercialName, Distagon]
  • A. hasTradeName chosen
    Indicates that a product, substance, or entity is known or marketed under a specific commercial or brand name.
  • B. hasCommercialField
    Indicates that one entity possesses or is associated with a commercial-related field, area, or domain in relation to another entity.
  • C. hasCommercialFunction
    Indicates that an entity serves a commercial role or purpose, such as engaging in trade, sales, or other profit-oriented activities.
  • D. hasCivilBrandName
    Indicates that an entity is associated with a commercial or civilian brand name under which it is publicly known or marketed.
  • E. hasCommercialProfile
    Indicates that an entity possesses or is associated with a commercial-oriented profile, typically used for business or trade-related purposes.
  • F. None of above.

Provenance (6 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_69f76ed6df7c8190b018e5baea716ceb completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_6a037c8efcd4819088c2aeead65d93df completed May 12, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40ba5852208190aff9edff5c8561fb completed June 28, 2026, 6:08 a.m.
NEDg Description generation batch_6a40bad6af3c81909af6b14a906f9f40 completed June 28, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_6a40bb2dad9c81908f42307856e12ec9 completed June 28, 2026, 6:11 a.m.
PD Predicate disambiguation batch_6a037a1772e48190ba738c6d11b321e2 completed May 12, 2026, 7:05 p.m.
Created at: May 3, 2026, 4:18 p.m.