Triple
T23272066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Government Licence (OGL) |
E588314
|
entity |
| Predicate | typeOfLicence |
P19269
|
FINISHED |
| Object | permissive |
—
|
LITERAL 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: permissive | Statement: [Open Government Licence (OGL), typeOfLicence, permissive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLicence Context triple: [Open Government Licence (OGL), typeOfLicence, permissive]
-
A.
typeOfLicense
chosen
Indicates the specific kind or category of license associated with an entity.
-
B.
licenceAuthority
Indicates that one entity has the official power or jurisdiction to grant, issue, or regulate licences for another entity or activity.
-
C.
countryOfLicence
Indicates the country that has issued or granted a particular licence.
-
D.
hasLicense
Indicates that an entity possesses a valid authorization or permit, typically granted by an authority, to perform a specific activity or use something.
-
E.
canDrive
Indicates that one entity has the ability or permission to operate a vehicle or drive another entity.
- F. None of above.
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_69e25d148adc819088efbf42672604e9 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1957518f88190bdd88ccc4e295668 |
completed | April 29, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69effcecabd88190856fb6e1d993e4dd |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:47 p.m.