Triple
T1140405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankfurt Stock Exchange |
E23436
|
entity |
| Predicate | mainIndex |
P12489
|
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: [Frankfurt Stock Exchange, mainIndex, DAX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DAX Context triple: [Frankfurt Stock Exchange, mainIndex, 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc290ae08190afbf7e7ea2100d9e |
completed | March 1, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac59b020d48190bc6ecbdb720c6779 |
completed | March 7, 2026, 5 p.m. |
Created at: March 1, 2026, 7:44 p.m.