Triple
T2075389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bank Rakyat Indonesia |
E44909
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
BRI
BRI is one of Indonesia’s largest and oldest state-owned banks, known for its extensive microfinance and rural banking services.
|
E232869
|
NE FINISHED |
How this triple was built (4 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: BRI | Statement: [Bank Rakyat Indonesia, abbreviation, BRI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BRI Context triple: [Bank Rakyat Indonesia, abbreviation, BRI]
-
A.
BRI
BRI is a global infrastructure and economic development strategy launched by China to enhance trade and connectivity across Asia, Europe, Africa, and beyond.
-
B.
Brades
Brades is a town on the Caribbean island of Montserrat that serves as the territory’s temporary administrative and commercial center following the abandonment of Plymouth due to volcanic activity.
-
C.
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.
-
D.
SBI
SBI is the ICAO airline designator used to identify S7 Airlines in international aviation operations.
-
E.
Gosbank
Gosbank was the central bank of the Soviet Union, responsible for issuing currency and overseeing the state-controlled financial system.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BRI Triple: [Bank Rakyat Indonesia, abbreviation, BRI]
Generated description
BRI is one of Indonesia’s largest and oldest state-owned banks, known for its extensive microfinance and rural banking services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BRI Target entity description: BRI is one of Indonesia’s largest and oldest state-owned banks, known for its extensive microfinance and rural banking services.
-
A.
BRI
BRI is a global infrastructure and economic development strategy launched by China to enhance trade and connectivity across Asia, Europe, Africa, and beyond.
-
B.
Brades
Brades is a town on the Caribbean island of Montserrat that serves as the territory’s temporary administrative and commercial center following the abandonment of Plymouth due to volcanic activity.
-
C.
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.
-
D.
SBI
SBI is the ICAO airline designator used to identify S7 Airlines in international aviation operations.
-
E.
Gosbank
Gosbank was the central bank of the Soviet Union, responsible for issuing currency and overseeing the state-controlled financial system.
- F. None of above. chosen
Provenance (5 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba116ea0819086d16c3913159e9e |
completed | March 7, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae2730d2548190b51dc61520981ca0 |
completed | March 9, 2026, 1:49 a.m. |
| NEDg | Description generation | batch_69ae27e4a6f88190a6af44f2cc822f31 |
completed | March 9, 2026, 1:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2876710c81909451744f48337998 |
completed | March 9, 2026, 1:55 a.m. |
Created at: March 4, 2026, 7:41 p.m.