Triple

T3277926
Position Surface form Disambiguated ID Type / Status
Subject MTU Aero Engines E68801 entity
Predicate stockIndexMembership P28888 FINISHED
Object DAX E23523 NE 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: DAX | Statement: [MTU Aero Engines, stockIndexMembership, DAX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DAX
Context triple: [MTU Aero Engines, stockIndexMembership, DAX]
  • A. DAX chosen
    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 (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.
  • C. MDAX
    MDAX is a German stock market index that tracks the performance of 50 mid-cap companies listed on the Frankfurt Stock Exchange.
  • D. DAX Index Committee
    The DAX Index Committee is the expert body responsible for overseeing the composition, rules, and periodic review of Germany’s flagship DAX stock market index.
  • E. DAX 50 ESG
    DAX 50 ESG is a German stock market index that tracks the performance of 50 large, liquid companies from the DAX universe selected based on environmental, social, and governance (ESG) criteria.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad859c463481909ca4be267336c290 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb013de048190bcaac732caa6b174 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e84ddd24819094a47269023f9889 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.