Triple

T1049876
Position Surface form Disambiguated ID Type / Status
Subject ADS E22669 entity
Predicate isComponentOfIndex P5722 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: [ADS, isComponentOfIndex, DAX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DAX
Context triple: [ADS, isComponentOfIndex, 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. DAF
    DAF is the acronym for the German Labour Front, the Nazi-era organization that replaced trade unions in Germany and controlled workers and employers under a state-run labor system.
  • D. XAF
    XAF is the currency code for the Central African CFA franc, a regional currency used by several Central African countries.
  • E. DCB
    DCB is the Division of Cancer Biology, a branch of the U.S. National Cancer Institute that supports and coordinates research on the biological mechanisms underlying cancer.
  • 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_69a493da02e081908c13ff5e02a0fe7a completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8b2c6208190b6fdf3e93b1b1d04 completed March 1, 2026, 10:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bcd3a4481908f7d9f13e3697fa9 completed March 7, 2026, 2:53 p.m.
Created at: March 1, 2026, 7:42 p.m.