Triple
T4362740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Girobank |
E98697
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | Girobank |
E98697
|
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: Girobank | Statement: [Girobank, hasAbbreviation, Girobank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Girobank Context triple: [Girobank, hasAbbreviation, Girobank]
-
A.
Girobank
chosen
Girobank was a British state-owned financial institution that provided banking and giro transfer services, originally established and run through the national postal system.
-
B.
Gosbank
Gosbank was the central bank of the Soviet Union, responsible for issuing currency and overseeing the state-controlled financial system.
-
C.
Worldline
Worldline is a French multinational company specializing in payment and transactional services, recognized as a major European player in digital payments.
-
D.
Equator Bank
Equator Bank was a financial institution where future Liberian president and economist Ellen Johnson Sirleaf held a professional position during her banking career.
-
E.
Aurora Bank
Aurora Bank is a notable geological feature within the Scotia Arc, forming part of the submarine topography in the South Atlantic region.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e5ee308190a9271e73689b4a2b |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbc68534819095ce62645ca79eff |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:16 p.m.