Triple
T25370404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Festival of Northern Lights |
E632914
|
entity |
| Predicate | isFreeOrPublic |
P158472
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Festival of Northern Lights, isFreeOrPublic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFreeOrPublic Context triple: [Festival of Northern Lights, isFreeOrPublic, true]
-
A.
isPrivateOrPublic
Indicates whether something is designated as private or public in terms of its accessibility or visibility.
-
B.
hasPartOpenToPublic
Indicates that some portion or component of an entity is accessible for use or visitation by the general public.
-
C.
isFreeToUse
Indicates that something can be used without cost, restriction, or required permission.
-
D.
isFreeToRead
Indicates that access to the referenced content or resource does not require payment and can be read without cost.
-
E.
accessibleForFreeOrPaid
Indicates that the subject can be accessed either without cost or by paying a fee.
- F. None of above. chosen
Provenance (4 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4a11263048190aa4939dcd3572a49 |
completed | May 1, 2026, 12:48 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 1:38 p.m.