Triple
T14810381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qatar National Bank |
E348161
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | QNB |
E348161
|
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: QNB | Statement: [Qatar National Bank, hasAbbreviation, QNB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QNB Context triple: [Qatar National Bank, hasAbbreviation, QNB]
-
A.
QNB Finansbank
QNB Finansbank is a major Turkish bank offering a wide range of retail and corporate banking services as part of the Qatar National Bank Group.
-
B.
QNBK
QNBK is the stock ticker symbol for Qatar National Bank, one of the largest and most prominent financial institutions in the Middle East.
-
C.
QNB Tunisia
QNB Tunisia is a Tunisian commercial bank that operates as part of the Qatar National Bank Group, offering a range of retail and corporate banking services in Tunisia.
-
D.
Qatar National Bank
chosen
Qatar National Bank is Qatar’s largest financial institution and one of the leading banks in the Middle East, offering a wide range of banking and financial services domestically and internationally.
-
E.
KVB
KVB is a French train protection and automatic speed control system used to enhance the safety of railway operations.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf35a5e081909321193ef37099d1 |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe64f6c6148190941b05d06d4dc54d |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:46 a.m.