Triple
T8589920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Union Military Staff |
E203403
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
EUMS
EUMS is the European Union’s military planning and coordination body responsible for strategic oversight of the EU’s security and defense missions.
|
E745158
|
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: EUMS | Statement: [European Union Military Staff, abbreviation, EUMS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EUMS Context triple: [European Union Military Staff, abbreviation, EUMS]
-
A.
UEMSO
UEMSO is the acronym for the Uniformed EMS Officers Union, a labor organization representing uniformed emergency medical services officers.
-
B.
UMS
UMS is the public university system that oversees multiple campuses and educational institutions across the state of Maine.
-
C.
UMS
UMS is a public university system in the U.S. state of Missouri that oversees multiple campuses, including the University of Missouri in Columbia.
-
D.
ESM
ESM is an intergovernmental financial institution of the eurozone that provides financial assistance to member states in economic distress to safeguard financial stability.
-
E.
ESM
ESM is the abbreviation for NASA’s Exceptional Service Medal, an honor awarded to individuals for significant, sustained contributions to the agency’s mission.
- 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: EUMS Triple: [European Union Military Staff, abbreviation, EUMS]
Generated description
EUMS is the European Union’s military planning and coordination body responsible for strategic oversight of the EU’s security and defense missions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EUMS Target entity description: EUMS is the European Union’s military planning and coordination body responsible for strategic oversight of the EU’s security and defense missions.
-
A.
UEMSO
UEMSO is the acronym for the Uniformed EMS Officers Union, a labor organization representing uniformed emergency medical services officers.
-
B.
UMS
UMS is the public university system that oversees multiple campuses and educational institutions across the state of Maine.
-
C.
UMS
UMS is a public university system in the U.S. state of Missouri that oversees multiple campuses, including the University of Missouri in Columbia.
-
D.
ESM
ESM is an intergovernmental financial institution of the eurozone that provides financial assistance to member states in economic distress to safeguard financial stability.
-
E.
ESM
ESM is the abbreviation for NASA’s Exceptional Service Medal, an honor awarded to individuals for significant, sustained contributions to the agency’s mission.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc466471048190ad6351170d07f7f7 |
completed | March 31, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8acebac81909d2fce98c6901f0c |
completed | April 2, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69cea9cff1ec8190a0093fb42782341e |
completed | April 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaa9f7f8c8190965e86880ff141d5 |
completed | April 2, 2026, 5:42 p.m. |
Created at: March 30, 2026, 6:23 p.m.