Triple
T8930416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VOW |
E212637
|
entity |
| Predicate | isComponentOf |
P5722
|
FINISHED |
| Object | DAX index |
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 index | Statement: [VOW, isComponentOf, DAX index]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DAX index Context triple: [VOW, isComponentOf, DAX index]
-
A.
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.
-
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 (DynamoDB Accelerator) is a fully managed, in-memory caching service designed to significantly speed up read performance for Amazon DynamoDB applications.
-
E.
VDAX
VDAX is a German volatility index that measures the expected fluctuation range of the DAX stock market over a specified period, similar in concept to the VIX for the U.S. market.
- 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6676d5d881908ce78cbb5561a68b |
completed | April 1, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba63544081909394500f28b34ccb |
completed | April 3, 2026, 1:02 p.m. |
Created at: March 30, 2026, 6:57 p.m.