Triple
T7533256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngada people |
E178078
|
entity |
| Predicate | culturalLandscapeType |
P5929
|
FINISHED |
| Object | volcanic highland settlements |
—
|
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: volcanic highland settlements | Statement: [Ngada people, culturalLandscapeType, volcanic highland settlements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: culturalLandscapeType Context triple: [Ngada people, culturalLandscapeType, volcanic highland settlements]
-
A.
hasCulturalSiteType
Indicates that an entity is associated with, or classified by, a specific type or category of cultural site.
-
B.
culturalSite
Indicates that one entity is recognized or designated as a cultural site associated with or located in relation to another entity.
-
C.
heritageType
chosen
Indicates the classification of an entity’s cultural or natural heritage category or type within a heritage framework.
-
D.
culturalDesignation
Indicates that an entity has been assigned a particular cultural status, label, or classification within a specific cultural or heritage context.
-
E.
UNESCOSiteType
Indicates the classification of a UNESCO World Heritage Site according to its type (e.g., cultural, natural, or mixed).
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8493964819086aeddfa4872a70b |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:47 p.m.