Triple

T22742340
Position Surface form Disambiguated ID Type / Status
Subject DAX Price Index E562445 entity
Predicate comparedWith P278 FINISHED
Object DAX Performance Index NE NERFINISHED

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: DAX Performance Index | Statement: [DAX Price Index, comparedWith, DAX Performance Index]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DAX Performance Index
Context triple: [DAX Price Index, comparedWith, DAX Performance Index]
  • A. DAX Price Index chosen
    The DAX Price Index is a version of Germany’s main stock market index that tracks the performance of its constituent companies without accounting for dividend reinvestments.
  • B. DAX
    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 (DynamoDB Accelerator) is a fully managed, in-memory caching service designed to significantly speed up read performance for Amazon DynamoDB applications.
  • E. DAX
    DAX is a global digital advertising exchange platform that connects advertisers with premium audio and digital media inventory across multiple markets.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1797400fc8190bec26726f434f787 completed April 29, 2026, 3:22 a.m.
Created at: April 17, 2026, 3:23 p.m.