Triple

T22665966
Position Surface form Disambiguated ID Type / Status
Subject DAXplus Minimum Variance E559787 entity
Predicate indexFamily P5722 FINISHED
Object DAXplus
DAXplus is a family of German stock market indices that provide specialized benchmarks and strategies beyond the core DAX index.
 E23523 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: DAXplus | Statement: [DAXplus Minimum Variance, indexFamily, DAXplus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DAXplus
Context triple: [DAXplus Minimum Variance, indexFamily, DAXplus]
  • A. DAX
    DAX is Germany’s leading blue-chip stock market index, tracking the performance of major companies listed on the Frankfurt Stock Exchange.
  • B. DAX
    DAX (DynamoDB Accelerator) is a fully managed, in-memory caching service designed to significantly speed up read performance for Amazon DynamoDB applications.
  • C. DAX
    DAX is a global digital advertising exchange platform that connects advertisers with premium audio and digital media inventory across multiple markets.
  • D. DAX
    DAX (Data Analysis Expressions) is a formula and query language used in Microsoft Power BI, Excel Power Pivot, and Analysis Services for creating custom calculations and data models.
  • E. DSX
    DSX is a U.S. Air Force research spacecraft designed to conduct space environment and radiation experiments in medium Earth orbit.
  • 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: DAXplus
Triple: [DAXplus Minimum Variance, indexFamily, DAXplus]
Generated description
DAXplus is a family of German stock market indices that provide specialized benchmarks and strategies beyond the core DAX index.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DAXplus
Target entity description: DAXplus is a family of German stock market indices that provide specialized benchmarks and strategies beyond the core DAX index.
  • A. DAX
    DAX (DynamoDB Accelerator) is a fully managed, in-memory caching service designed to significantly speed up read performance for Amazon DynamoDB applications.
  • B. DAX chosen
    DAX is Germany’s leading blue-chip stock market index, tracking the performance of major companies listed on the Frankfurt Stock Exchange.
  • C. DAX
    DAX (Data Analysis Expressions) is a formula and query language used in Microsoft Power BI, Excel Power Pivot, and Analysis Services for creating custom calculations and data models.
  • D. DAX
    DAX is a global digital advertising exchange platform that connects advertisers with premium audio and digital media inventory across multiple markets.
  • E. DSX
    DSX is a U.S. Air Force research spacecraft designed to conduct space environment and radiation experiments in medium Earth orbit.
  • F. None of above.

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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781c2c808190baf6964ca1eced6f completed April 29, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b8fb57260819081d5f75eeefd68ec completed May 18, 2026, 10:16 p.m.
NEDg Description generation batch_6a0b924623a88190a34e51692f29dd26 completed May 18, 2026, 10:27 p.m.
NED2 Entity disambiguation (via description) batch_6a0b9299dfb08190ae90821565de974d completed May 18, 2026, 10:28 p.m.
Created at: April 17, 2026, 3:09 p.m.