Triple
T16852120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABBN |
E409699
|
entity |
| Predicate | exchangeSymbol |
P24932
|
FINISHED |
| Object | SIX |
E153343
|
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: SIX | Statement: [ABBN, exchangeSymbol, SIX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SIX Context triple: [ABBN, exchangeSymbol, SIX]
-
A.
Swiss Bank Corporation
Swiss Bank Corporation was a major Swiss financial institution and investment bank that became part of UBS following a landmark merger in the late 1990s.
-
B.
SIX Swiss Exchange
chosen
SIX Swiss Exchange is Switzerland’s principal stock exchange, known for listing major Swiss companies and operating as a key financial hub in Europe.
-
C.
Credit Suisse
Credit Suisse is a major global investment bank and financial services firm headquartered in Switzerland, known for its wealth management, investment banking, and asset management operations.
-
D.
Helvetic Financial Services
Helvetic Financial Services is a financial services company operating under the real estate investment and asset management group Corestate Capital.
-
E.
Sogelym Dixence
Sogelym Dixence is a French real estate development company known for leading major urban office and mixed-use projects.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37abadc81909d02d329403497d6 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb216fac81909d401c6b9911d1e0 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.