Triple
T7461531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OSLF |
E176259
|
entity |
| Predicate | hasAcronym |
P43
|
FINISHED |
| Object | OSLF |
E176259
|
NE FINISHED |
How this triple was built (2 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: OSLF | Statement: [OSLF, hasAcronym, OSLF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OSLF Context triple: [OSLF, hasAcronym, OSLF]
-
A.
OSLF
chosen
OSLF is the acronym for the U.S. Treasury Department’s Office of State and Local Finance, which focuses on fiscal issues affecting state and local governments.
-
B.
OSL
OSL is the three-letter IATA airport code for Oslo Airport, Gardermoen, the main international airport serving Norway’s capital.
-
C.
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.
-
D.
SLSF
SLSF was the reporting mark used by the St. Louis–San Francisco Railway, commonly known as the Frisco, a major Midwestern and Southern U.S. railroad.
-
E.
OSSE
OSSE is the District of Columbia’s state education agency responsible for overseeing public education policies, programs, and accountability across the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69f21632481908bf83f6c6da897e3 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3d6cf8c8190a31cac121d151d78 |
completed | March 27, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8345f629c8190889081e18bdfe6f7 |
completed | March 28, 2026, 8:04 p.m. |
Created at: March 27, 2026, 3:38 p.m.