Triple
T23272028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Government Licence (OGL) |
E588314
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | OGL |
—
|
NE NERFINISHED |
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: OGL | Statement: [Open Government Licence (OGL), abbreviation, OGL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OGL Context triple: [Open Government Licence (OGL), abbreviation, OGL]
-
A.
OGL
OGL is the IATA airport code for Eugene F. Correia International Airport, a regional airport serving Georgetown, Guyana.
-
B.
OGL
chosen
OGL is a UK government open license that allows the free use, adaptation, and sharing of public sector information with minimal restrictions.
-
C.
OGL v2.0
OGL v2.0 is a specific iteration of the UK’s Open Government Licence that sets out updated terms for the reuse of public sector information.
-
D.
OGL v1.0
OGL v1.0 is the original version of the UK’s Open Government Licence, a standard public licence that allows widespread use and re-use of government information with minimal restrictions.
-
E.
OpenGL
OpenGL is a cross-language, cross-platform application programming interface (API) for rendering 2D and 3D vector graphics, widely used in games, simulations, and professional visualization.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1957518f88190bdd88ccc4e295668 |
completed | April 29, 2026, 5:21 a.m. |
Created at: April 17, 2026, 4:47 p.m.