Triple
T36832718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willowra |
E910186
|
entity |
| Predicate | hasArtAndCulturalActivities |
P120283
|
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: [Willowra, hasArtAndCulturalActivities, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtAndCulturalActivities Context triple: [Willowra, hasArtAndCulturalActivities, true]
-
A.
hasCulturalOrganization
Indicates that an entity possesses, is associated with, or hosts a cultural organization (such as a museum, arts group, or cultural institution).
-
B.
hasCulturalEvent
Indicates that a cultural event (such as a festival, performance, or exhibition) takes place in, is associated with, or is hosted by a given entity.
-
C.
associatedWithCulturalActivity
chosen
Indicates that an entity has a connection or involvement with a cultural activity, such as participation, support, organization, or representation.
-
D.
hasCulturalProgram
Indicates that an entity offers or participates in an organized set of cultural activities, events, or initiatives.
-
E.
hasCulturalProject
Indicates that an entity is associated with, responsible for, or involved in a cultural project or initiative.
- 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe7bfc94bc81909eeec946e8c1c450 |
completed | May 9, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69fe7b74a1188190886f128e07f712da |
completed | May 9, 2026, 12:10 a.m. |
Created at: May 3, 2026, 4:13 p.m.