Triple
T4025349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of the Secretary-General |
E91378
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
OSG
OSG is the abbreviated name commonly used to refer to the Office of the Secretary-General.
|
E406786
|
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: OSG | Statement: [Office of the Secretary-General, shortName, OSG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OSG Context triple: [Office of the Secretary-General, shortName, OSG]
-
A.
OSGG
OSGG is the acronym for the Office of the Secretary to the Governor General, the federal body that supports Canada’s governor general in carrying out constitutional, ceremonial, and community roles.
-
B.
OSDL
OSDL (Open Source Development Labs) was a nonprofit organization that supported and promoted the development and adoption of the Linux operating system, particularly in enterprise environments.
-
C.
OSL
OSL is the three-letter IATA airport code for Oslo Airport, Gardermoen, the main international airport serving Norway’s capital.
-
D.
OSSE
OSSE is the District of Columbia’s state education agency responsible for overseeing public education policies, programs, and accountability across the city.
-
E.
OSO
OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
- 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: OSG Triple: [Office of the Secretary-General, shortName, OSG]
Generated description
OSG is the abbreviated name commonly used to refer to the Office of the Secretary-General.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OSG Target entity description: OSG is the abbreviated name commonly used to refer to the Office of the Secretary-General.
-
A.
OSGG
OSGG is the acronym for the Office of the Secretary to the Governor General, the federal body that supports Canada’s governor general in carrying out constitutional, ceremonial, and community roles.
-
B.
OSDL
OSDL (Open Source Development Labs) was a nonprofit organization that supported and promoted the development and adoption of the Linux operating system, particularly in enterprise environments.
-
C.
OSL
OSL is the three-letter IATA airport code for Oslo Airport, Gardermoen, the main international airport serving Norway’s capital.
-
D.
OSSE
OSSE is the District of Columbia’s state education agency responsible for overseeing public education policies, programs, and accountability across the city.
-
E.
OSO
OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaec08dc8190a341809059554f84 |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c84ce9081909ecf3aeee95cb2bf |
completed | March 14, 2026, 11:54 a.m. |
| NEDg | Description generation | batch_69b54d076f708190a0d86120d78e8d77 |
completed | March 14, 2026, 11:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b54d5fa6c4819089d190c4cfdb8cd0 |
completed | March 14, 2026, 11:58 a.m. |
Created at: March 9, 2026, 3:35 p.m.