Triple
T5893969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DAX 50 ESG |
E131057
|
entity |
| Predicate | calculatedBy |
P6447
|
FINISHED |
| Object | Qontigo |
E195030
|
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: Qontigo | Statement: [DAX 50 ESG, calculatedBy, Qontigo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qontigo Context triple: [DAX 50 ESG, calculatedBy, Qontigo]
-
A.
Qontigo
chosen
Qontigo is a financial technology and indexing company known for providing index, analytics, and risk management solutions to global investors.
-
B.
Cortalim
Cortalim is a village in South Goa, India, known for its scenic riverside location, historic churches, and role as a transport hub near the Zuari River.
-
C.
Quinet
Quinet was a notable philhellene recognized for his support of Greek independence and culture.
-
D.
Griante
Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
-
E.
Skoll
Skoll is a Canadian engineer, billionaire, and philanthropist best known as the first president of eBay and the founder of Participant Media and the Skoll Foundation.
- 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_69c0b15146888190ab86eaf9e565ee28 |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:58 p.m.