Triple

T3347251
Position Surface form Disambiguated ID Type / Status
Subject Siemens Venture coaches E70404 entity
Predicate designedToMeet P9494 FINISHED
Object ADA accessibility standards LITERAL 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: ADA accessibility standards | Statement: [Siemens Venture coaches, designedToMeet, ADA accessibility standards]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: designedToMeet
Context triple: [Siemens Venture coaches, designedToMeet, ADA accessibility standards]
  • A. isDesignedFor chosen
    Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
  • B. designedToWithstand
    Indicates that something has been intentionally created or engineered to resist, endure, or remain functional under specified conditions, forces, or stresses.
  • C. isDesignedAs
    Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
  • D. designedToAvoid
    Indicates that something was intentionally created or configured in a way that prevents or minimizes a particular outcome, condition, or interaction.
  • E. designedWith
    Indicates that one entity was created, planned, or developed using another entity as a tool, method, or guiding basis in its design process.
  • F. None of above.

Provenance (3 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb21c64448190a29631ea8f029868 completed March 8, 2026, 5:30 p.m.
PD Predicate disambiguation batch_69ada42df1d48190874bb05f95deefde completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:12 p.m.