Triple

T5894014
Position Surface form Disambiguated ID Type / Status
Subject GDAXI E131059 entity
Predicate refersTo P37 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: [GDAXI, refersTo, DAX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DAX
Context triple: [GDAXI, refersTo, 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. DAX
    DAX (DynamoDB Accelerator) is a fully managed, in-memory caching service designed to significantly speed up read performance for Amazon DynamoDB applications.
  • D. DAX Price Index
    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.
  • E. MDAX
    MDAX is a German stock market index that tracks the performance of 50 mid-cap companies listed on the Frankfurt Stock Exchange.
  • 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_69c00857439c819095950754176aa58a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036f220dc8190ad553d33de4e2ecd completed March 22, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c124f946348190ab6fa7c2c203924f completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 3:58 p.m.