Triple
T20545624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institut d’émission d’émission d’outre-mer |
E504461
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
IEOM
IEOM is the French overseas issuing institute responsible for managing currency and monetary policy in certain French Pacific territories.
|
E1437351
|
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: IEOM | Statement: [Institut d’émission d’émission d’outre-mer, shortName, IEOM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IEOM Context triple: [Institut d’émission d’émission d’outre-mer, shortName, IEOM]
-
A.
IOE
IOE is the Independent Office of Evaluation of the International Fund for Agricultural Development, responsible for assessing the effectiveness and impact of IFAD’s strategies and operations.
-
B.
IOE
IOE is the University College London Institute of Education, a leading centre for research and teaching in education and social science.
-
C.
IOE
IOE is the abbreviation for the University of Michigan’s Department of Industrial and Operations Engineering, a leading program in optimizing complex systems and processes.
-
D.
IEOC
IEOC is a Metrolink commuter rail service connecting California’s Inland Empire region with Orange County and coastal destinations.
-
E.
IE-SO
IE-SO is the ISO 3166-2 regional code that designates County Sligo in Ireland.
- 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: IEOM Triple: [Institut d’émission d’émission d’outre-mer, shortName, IEOM]
Generated description
IEOM is the French overseas issuing institute responsible for managing currency and monetary policy in certain French Pacific territories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IEOM Target entity description: IEOM is the French overseas issuing institute responsible for managing currency and monetary policy in certain French Pacific territories.
-
A.
IOE
IOE is the Independent Office of Evaluation of the International Fund for Agricultural Development, responsible for assessing the effectiveness and impact of IFAD’s strategies and operations.
-
B.
IOE
IOE is the University College London Institute of Education, a leading centre for research and teaching in education and social science.
-
C.
IOE
IOE is the abbreviation for the University of Michigan’s Department of Industrial and Operations Engineering, a leading program in optimizing complex systems and processes.
-
D.
IEOC
IEOC is a Metrolink commuter rail service connecting California’s Inland Empire region with Orange County and coastal destinations.
-
E.
IE-SO
IE-SO is the ISO 3166-2 regional code that designates County Sligo in Ireland.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a29684648190969d8fc23743e288 |
completed | April 20, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08a56d914c819093105dfbeef686f7 |
completed | May 16, 2026, 5:12 p.m. |
| NEDg | Description generation | batch_6a08a66836d88190a63b42663455e491 |
completed | May 16, 2026, 5:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08a6e4bd1c8190969cf969812a2e56 |
completed | May 16, 2026, 5:18 p.m. |
Created at: April 16, 2026, 11:38 a.m.