Triple
T1591625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resolute Support Mission |
E34189
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
RSM
RSM is the acronym for the NATO-led Resolute Support Mission in Afghanistan, focused on training, advising, and assisting Afghan security forces after the end of NATO’s combat operations.
|
E181741
|
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: RSM | Statement: [Resolute Support Mission, shortName, RSM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RSM Context triple: [Resolute Support Mission, shortName, RSM]
-
A.
RSM
RSM is the international vehicle registration code used on license plates for vehicles registered in San Marino.
-
B.
RSM
RSM is the abbreviation commonly used for the Royal Schools of Music, a group of prestigious UK conservatoires known for their music education and examination programs.
-
C.
RMSC
RMSC is the Rose M. Singer Center, a women’s jail facility located on Rikers Island in New York City.
-
D.
RMC
RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
-
E.
RSJ
RSJ is a professional society in Japan dedicated to advancing research, development, and dissemination of knowledge in the field of robotics.
- 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: RSM Triple: [Resolute Support Mission, shortName, RSM]
Generated description
RSM is the acronym for the NATO-led Resolute Support Mission in Afghanistan, focused on training, advising, and assisting Afghan security forces after the end of NATO’s combat operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RSM Target entity description: RSM is the acronym for the NATO-led Resolute Support Mission in Afghanistan, focused on training, advising, and assisting Afghan security forces after the end of NATO’s combat operations.
-
A.
RSM
RSM is the international vehicle registration code used on license plates for vehicles registered in San Marino.
-
B.
RSM
RSM is the abbreviation commonly used for the Royal Schools of Music, a group of prestigious UK conservatoires known for their music education and examination programs.
-
C.
RMSC
RMSC is the Rose M. Singer Center, a women’s jail facility located on Rikers Island in New York City.
-
D.
RMC
RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
-
E.
RSJ
RSJ is a professional society in Japan dedicated to advancing research, development, and dissemination of knowledge in the field of robotics.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb2c480008190bb472cfdab74c387 |
completed | March 7, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46a0f5348190ae3fe8033360d800 |
completed | March 8, 2026, 9:51 a.m. |
| NEDg | Description generation | batch_69ad4a938fb08190b462fc72e1e77ed8 |
completed | March 8, 2026, 10:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad4b0e62ac81908a51d36f9e3677fe |
completed | March 8, 2026, 10:10 a.m. |
Created at: March 4, 2026, 7:27 p.m.