Triple
T18816166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singleton region |
E460140
|
entity |
| Predicate | hasCulturalLandscapeOf |
P45682
|
FINISHED |
| Object | Wonnarua people |
—
|
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: Wonnarua people | Statement: [Singleton region, hasCulturalLandscapeOf, Wonnarua people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCulturalLandscapeOf Context triple: [Singleton region, hasCulturalLandscapeOf, Wonnarua people]
-
A.
hasCulturalProperty
Indicates that something possesses or is associated with a cultural attribute, value, or characteristic.
-
B.
isCulturalHeritageSite
Indicates that a place or structure is officially recognized and protected as having significant cultural, historical, or artistic value.
-
C.
culturalSite
Indicates that one entity is recognized or designated as a cultural site associated with or located in relation to another entity.
-
D.
culturalHeritageOf
chosen
Indicates that something serves as the cultural heritage belonging to, originating from, or strongly associated with a particular entity or group.
-
E.
hasCulturalSiteType
Indicates that an entity is associated with, or classified by, a specific type or category of cultural site.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a3e092e081908fc310c70f646e79 |
completed | April 20, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:55 a.m.