Triple
T7847027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | multilateral development banks |
E181948
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
MDBs
MDBs are international financial institutions that provide loans, grants, and technical assistance to support economic and social development in multiple countries.
|
E698610
|
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: MDBs | Statement: [multilateral development banks, alsoKnownAs, MDBs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MDBs Context triple: [multilateral development banks, alsoKnownAs, MDBs]
-
A.
Mdb
Mdb is the official station code used to identify Middelburg railway station in the Netherlands’ rail network.
-
B.
MDBK
MDBK is the stock ticker symbol for Midland Bank, a financial institution involved in banking and related financial services.
-
C.
MDBA
MDBA is the acronym for the Murray–Darling Basin Authority, the Australian government agency responsible for managing the Murray–Darling Basin’s water resources.
-
D.
MDC
MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
-
E.
MBS
MBS is an abbreviation commonly used for the Mutual Broadcasting System, a historic American radio network that operated from the 1930s to the 1990s.
- 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: MDBs Triple: [multilateral development banks, alsoKnownAs, MDBs]
Generated description
MDBs are international financial institutions that provide loans, grants, and technical assistance to support economic and social development in multiple countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MDBs Target entity description: MDBs are international financial institutions that provide loans, grants, and technical assistance to support economic and social development in multiple countries.
-
A.
Mdb
Mdb is the official station code used to identify Middelburg railway station in the Netherlands’ rail network.
-
B.
MDBK
MDBK is the stock ticker symbol for Midland Bank, a financial institution involved in banking and related financial services.
-
C.
MDBA
MDBA is the acronym for the Murray–Darling Basin Authority, the Australian government agency responsible for managing the Murray–Darling Basin’s water resources.
-
D.
MDC
MDC is a Zimbabwean opposition political party known as the Movement for Democratic Change, which has played a major role in challenging the long-standing rule of ZANU–PF.
-
E.
MBS
MBS is an abbreviation commonly used for the Mutual Broadcasting System, a historic American radio network that operated from the 1930s to the 1990s.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb164105fc8190a60aaa27dd619d5a |
completed | March 31, 2026, 12:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5af27c9c8190a3e6062d323acff1 |
completed | March 31, 2026, 5:26 a.m. |
| NEDg | Description generation | batch_69cb5def38e88190864d84abd7959aa3 |
completed | March 31, 2026, 5:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb766e41fc8190a08f07d04774053a |
completed | March 31, 2026, 7:23 a.m. |
Created at: March 30, 2026, 4:49 p.m.